Overview

Dataset statistics

Number of variables62
Number of observations110
Missing cells2670
Missing cells (%)39.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.4 KiB
Average record size in memory497.2 B

Variable types

Numeric14
Categorical39
Unsupported9

Alerts

airdate has constant value "2020-12-17" Constant
_embedded.show.dvdCountry.name has constant value "Korea, Republic of" Constant
_embedded.show.dvdCountry.code has constant value "KR" Constant
_embedded.show.dvdCountry.timezone has constant value "Asia/Seoul" Constant
url has a high cardinality: 110 distinct values High cardinality
name has a high cardinality: 98 distinct values High cardinality
_links.self.href has a high cardinality: 110 distinct values High cardinality
_embedded.show.url has a high cardinality: 85 distinct values High cardinality
_embedded.show.name has a high cardinality: 85 distinct values High cardinality
_embedded.show.premiered has a high cardinality: 65 distinct values High cardinality
_embedded.show.officialSite has a high cardinality: 77 distinct values High cardinality
_embedded.show.image.medium has a high cardinality: 81 distinct values High cardinality
_embedded.show.image.original has a high cardinality: 81 distinct values High cardinality
_embedded.show.summary has a high cardinality: 76 distinct values High cardinality
_embedded.show._links.self.href has a high cardinality: 85 distinct values High cardinality
_embedded.show._links.previousepisode.href has a high cardinality: 85 distinct values High cardinality
id is highly correlated with rating.average and 2 other fieldsHigh correlation
season is highly correlated with _embedded.show.id and 3 other fieldsHigh correlation
number is highly correlated with _embedded.show.externals.tvrageHigh correlation
runtime is highly correlated with rating.average and 4 other fieldsHigh correlation
rating.average is highly correlated with id and 4 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 4 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 5 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.externals.tvrageHigh correlation
_embedded.show.webChannel.id is highly correlated with rating.average and 1 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 10 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.externals.tvrage and 2 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with season and 5 other fieldsHigh correlation
id is highly correlated with rating.average and 1 other fieldsHigh correlation
season is highly correlated with number and 1 other fieldsHigh correlation
number is highly correlated with season and 4 other fieldsHigh correlation
runtime is highly correlated with number and 3 other fieldsHigh correlation
rating.average is highly correlated with id and 3 other fieldsHigh correlation
_embedded.show.id is highly correlated with _embedded.show.externals.thetvdb and 1 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with number and 4 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 4 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with rating.averageHigh correlation
_embedded.show.weight is highly correlated with rating.average and 1 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with _embedded.show.network.idHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with _embedded.show.id and 1 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with number and 6 other fieldsHigh correlation
id is highly correlated with rating.average and 1 other fieldsHigh correlation
season is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
number is highly correlated with _embedded.show.externals.tvrageHigh correlation
runtime is highly correlated with rating.average and 2 other fieldsHigh correlation
rating.average is highly correlated with id and 3 other fieldsHigh correlation
_embedded.show.id is highly correlated with rating.average and 1 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 2 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 4 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with _embedded.show.averageRuntimeHigh correlation
_embedded.show.webChannel.id is highly correlated with rating.averageHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 5 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 2 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.network.idHigh correlation
_embedded.show.network.id is highly correlated with _embedded.show.runtime and 3 other fieldsHigh correlation
id is highly correlated with name and 28 other fieldsHigh correlation
name is highly correlated with id and 35 other fieldsHigh correlation
season is highly correlated with id and 25 other fieldsHigh correlation
number is highly correlated with name and 27 other fieldsHigh correlation
type is highly correlated with name and 22 other fieldsHigh correlation
airtime is highly correlated with airstamp and 23 other fieldsHigh correlation
airstamp is highly correlated with name and 38 other fieldsHigh correlation
runtime is highly correlated with name and 30 other fieldsHigh correlation
summary is highly correlated with id and 37 other fieldsHigh correlation
rating.average is highly correlated with id and 30 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 37 other fieldsHigh correlation
_embedded.show.url is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.name is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.type is highly correlated with name and 35 other fieldsHigh correlation
_embedded.show.language is highly correlated with airstamp and 31 other fieldsHigh correlation
_embedded.show.status is highly correlated with name and 30 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with name and 34 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with name and 35 other fieldsHigh correlation
_embedded.show.premiered is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.ended is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.officialSite is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.schedule.time is highly correlated with type and 26 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with airtime and 33 other fieldsHigh correlation
_embedded.show.weight is highly correlated with name and 29 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with name and 32 other fieldsHigh correlation
_embedded.show.webChannel.name is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.webChannel.country.name is highly correlated with id and 28 other fieldsHigh correlation
_embedded.show.webChannel.country.code is highly correlated with id and 28 other fieldsHigh correlation
_embedded.show.webChannel.country.timezone is highly correlated with id and 28 other fieldsHigh correlation
_embedded.show.webChannel.officialSite is highly correlated with id and 33 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with name and 18 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with name and 34 other fieldsHigh correlation
_embedded.show.externals.imdb is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.image.medium is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.image.original is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.summary is highly correlated with id and 44 other fieldsHigh correlation
_embedded.show.updated is highly correlated with name and 28 other fieldsHigh correlation
_embedded.show._links.self.href is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show._links.previousepisode.href is highly correlated with id and 45 other fieldsHigh correlation
image.medium is highly correlated with id and 43 other fieldsHigh correlation
image.original is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show._links.nextepisode.href is highly correlated with id and 32 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with id and 31 other fieldsHigh correlation
_embedded.show.network.name is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.network.country.name is highly correlated with id and 32 other fieldsHigh correlation
_embedded.show.network.country.code is highly correlated with id and 32 other fieldsHigh correlation
_embedded.show.network.country.timezone is highly correlated with id and 32 other fieldsHigh correlation
number has 4 (3.6%) missing values Missing
runtime has 9 (8.2%) missing values Missing
image has 110 (100.0%) missing values Missing
summary has 85 (77.3%) missing values Missing
rating.average has 104 (94.5%) missing values Missing
_embedded.show.runtime has 36 (32.7%) missing values Missing
_embedded.show.averageRuntime has 4 (3.6%) missing values Missing
_embedded.show.ended has 56 (50.9%) missing values Missing
_embedded.show.officialSite has 12 (10.9%) missing values Missing
_embedded.show.rating.average has 91 (82.7%) missing values Missing
_embedded.show.network has 110 (100.0%) missing values Missing
_embedded.show.webChannel.id has 2 (1.8%) missing values Missing
_embedded.show.webChannel.name has 2 (1.8%) missing values Missing
_embedded.show.webChannel.country.name has 50 (45.5%) missing values Missing
_embedded.show.webChannel.country.code has 50 (45.5%) missing values Missing
_embedded.show.webChannel.country.timezone has 50 (45.5%) missing values Missing
_embedded.show.webChannel.officialSite has 49 (44.5%) missing values Missing
_embedded.show.dvdCountry has 110 (100.0%) missing values Missing
_embedded.show.externals.tvrage has 107 (97.3%) missing values Missing
_embedded.show.externals.thetvdb has 27 (24.5%) missing values Missing
_embedded.show.externals.imdb has 47 (42.7%) missing values Missing
_embedded.show.image.medium has 4 (3.6%) missing values Missing
_embedded.show.image.original has 4 (3.6%) missing values Missing
_embedded.show.summary has 10 (9.1%) missing values Missing
image.medium has 76 (69.1%) missing values Missing
image.original has 76 (69.1%) missing values Missing
_embedded.show._links.nextepisode.href has 102 (92.7%) missing values Missing
_embedded.show.network.id has 103 (93.6%) missing values Missing
_embedded.show.network.name has 103 (93.6%) missing values Missing
_embedded.show.network.country.name has 103 (93.6%) missing values Missing
_embedded.show.network.country.code has 103 (93.6%) missing values Missing
_embedded.show.network.country.timezone has 103 (93.6%) missing values Missing
_embedded.show.network.officialSite has 110 (100.0%) missing values Missing
_embedded.show.webChannel.country has 110 (100.0%) missing values Missing
_embedded.show.webChannel has 110 (100.0%) missing values Missing
_embedded.show.image has 110 (100.0%) missing values Missing
_embedded.show.dvdCountry.name has 109 (99.1%) missing values Missing
_embedded.show.dvdCountry.code has 109 (99.1%) missing values Missing
_embedded.show.dvdCountry.timezone has 109 (99.1%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
summary is uniformly distributed Uniform
_links.self.href is uniformly distributed Uniform
_embedded.show.url is uniformly distributed Uniform
_embedded.show.name is uniformly distributed Uniform
_embedded.show.officialSite is uniformly distributed Uniform
_embedded.show.externals.tvrage is uniformly distributed Uniform
_embedded.show.externals.imdb is uniformly distributed Uniform
_embedded.show.image.medium is uniformly distributed Uniform
_embedded.show.image.original is uniformly distributed Uniform
_embedded.show.summary is uniformly distributed Uniform
_embedded.show._links.self.href is uniformly distributed Uniform
_embedded.show._links.previousepisode.href is uniformly distributed Uniform
image.medium is uniformly distributed Uniform
image.original is uniformly distributed Uniform
_embedded.show._links.nextepisode.href is uniformly distributed Uniform
_embedded.show.network.name is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links.self.href has unique values Unique
image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.genres is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.schedule.days is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.dvdCountry is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network.officialSite is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel.country is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.image is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-09-05 04:40:44.532304
Analysis finished2022-09-05 04:41:13.302391
Duration28.77 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018074.709
Minimum1732625
Maximum2379930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:13.372031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1732625
5-th percentile1951969.55
Q11980491
median1988258.5
Q32010600.75
95-th percentile2205976.55
Maximum2379930
Range647305
Interquartile range (IQR)30109.75

Descriptive statistics

Standard deviation89594.23619
Coefficient of variation (CV)0.04439589664
Kurtosis4.261250784
Mean2018074.709
Median Absolute Deviation (MAD)11982
Skewness1.480320041
Sum221988218
Variance8027127158
MonotonicityNot monotonic
2022-09-04T23:41:13.555993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19888611
 
0.9%
19760971
 
0.9%
20000601
 
0.9%
19975171
 
0.9%
19975161
 
0.9%
19909011
 
0.9%
19884031
 
0.9%
19856981
 
0.9%
19856971
 
0.9%
19856961
 
0.9%
Other values (100)100
90.9%
ValueCountFrequency (%)
17326251
0.9%
18065901
0.9%
19499101
0.9%
19499111
0.9%
19503671
0.9%
19507011
0.9%
19535201
0.9%
19607281
0.9%
19628911
0.9%
19639981
0.9%
ValueCountFrequency (%)
23799301
0.9%
22893781
0.9%
22893231
0.9%
22513691
0.9%
22364931
0.9%
22059771
0.9%
22059761
0.9%
21972851
0.9%
21895531
0.9%
21761341
0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23
 
1
https://www.tvmaze.com/episodes/1976097/be-with-you-1x24-episode-24
 
1
https://www.tvmaze.com/episodes/2000060/ultimate-note-1x13-episode-13
 
1
https://www.tvmaze.com/episodes/1997517/the-penalty-zone-1x10-episode-10
 
1
https://www.tvmaze.com/episodes/1997516/the-penalty-zone-1x09-episode-9
 
1
Other values (105)
105 

Length

Max length150
Median length104
Mean length82.07272727
Min length58

Characters and Unicode

Total characters9028
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23
2nd rowhttps://www.tvmaze.com/episodes/1977892/obycnaa-zensina-2x01-seria-10
3rd rowhttps://www.tvmaze.com/episodes/1977898/obycnaa-zensina-2x02-seria-11
4th rowhttps://www.tvmaze.com/episodes/1963998/257-pricin-ctoby-zit-2x08-seria-21
5th rowhttps://www.tvmaze.com/episodes/1949910/smesariki-novyj-sezon-1x31-emigrant-cast-1

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-231
 
0.9%
https://www.tvmaze.com/episodes/1976097/be-with-you-1x24-episode-241
 
0.9%
https://www.tvmaze.com/episodes/2000060/ultimate-note-1x13-episode-131
 
0.9%
https://www.tvmaze.com/episodes/1997517/the-penalty-zone-1x10-episode-101
 
0.9%
https://www.tvmaze.com/episodes/1997516/the-penalty-zone-1x09-episode-91
 
0.9%
https://www.tvmaze.com/episodes/1990901/nimra-etnin-1x08-hush-hush1
 
0.9%
https://www.tvmaze.com/episodes/1988403/love-teenager-1x01-i-kissed-my-handsome-guy-friend-at-school1
 
0.9%
https://www.tvmaze.com/episodes/1985698/schulz-saves-america-1x04-a-nation-divided-crybaby-cooper-and-tantruming-tucker-are-tearing-the-country-in-two1
 
0.9%
https://www.tvmaze.com/episodes/1985697/schulz-saves-america-1x03-black-lives-matter-protests-police-and-hollywood-hypocrites1
 
0.9%
https://www.tvmaze.com/episodes/1985696/schulz-saves-america-1x02-conspiracy-theories-predators-presidents-and-epsteins-suicide1
 
0.9%
Other values (100)100
90.9%

Length

2022-09-04T23:41:13.782427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-231
 
0.9%
https://www.tvmaze.com/episodes/2169060/after-mom-falls-asleep-4x16-kai1
 
0.9%
https://www.tvmaze.com/episodes/1963998/257-pricin-ctoby-zit-2x08-seria-211
 
0.9%
https://www.tvmaze.com/episodes/1949910/smesariki-novyj-sezon-1x31-emigrant-cast-11
 
0.9%
https://www.tvmaze.com/episodes/1949911/smesariki-novyj-sezon-1x32-zag1
 
0.9%
https://www.tvmaze.com/episodes/1960728/psih-1x07-osoznanie1
 
0.9%
https://www.tvmaze.com/episodes/1982405/volk-1x07-seria-071
 
0.9%
https://www.tvmaze.com/episodes/1982406/volk-1x08-seria-081
 
0.9%
https://www.tvmaze.com/episodes/1988012/muzskaa-tema-1x01-seria-11
 
0.9%
https://www.tvmaze.com/episodes/1985787/theres-a-pit-in-my-senior-martial-brothers-brain-2x09-episode-91
 
0.9%
Other values (100)100
90.9%

Most occurring characters

ValueCountFrequency (%)
e754
 
8.4%
-716
 
7.9%
s591
 
6.5%
t565
 
6.3%
/550
 
6.1%
o455
 
5.0%
a370
 
4.1%
i365
 
4.0%
w365
 
4.0%
m337
 
3.7%
Other values (30)3960
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6161
68.2%
Decimal Number1271
 
14.1%
Other Punctuation880
 
9.7%
Dash Punctuation716
 
7.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e754
12.2%
s591
 
9.6%
t565
 
9.2%
o455
 
7.4%
a370
 
6.0%
i365
 
5.9%
w365
 
5.9%
m337
 
5.5%
p333
 
5.4%
d242
 
3.9%
Other values (16)1784
29.0%
Decimal Number
ValueCountFrequency (%)
1266
20.9%
0185
14.6%
2169
13.3%
9159
12.5%
793
 
7.3%
393
 
7.3%
886
 
6.8%
580
 
6.3%
676
 
6.0%
464
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/550
62.5%
.220
 
25.0%
:110
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6161
68.2%
Common2867
31.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e754
12.2%
s591
 
9.6%
t565
 
9.2%
o455
 
7.4%
a370
 
6.0%
i365
 
5.9%
w365
 
5.9%
m337
 
5.5%
p333
 
5.4%
d242
 
3.9%
Other values (16)1784
29.0%
Common
ValueCountFrequency (%)
-716
25.0%
/550
19.2%
1266
 
9.3%
.220
 
7.7%
0185
 
6.5%
2169
 
5.9%
9159
 
5.5%
:110
 
3.8%
793
 
3.2%
393
 
3.2%
Other values (4)306
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII9028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e754
 
8.4%
-716
 
7.9%
s591
 
6.5%
t565
 
6.3%
/550
 
6.1%
o455
 
5.0%
a370
 
4.1%
i365
 
4.0%
w365
 
4.0%
m337
 
3.7%
Other values (30)3960
43.9%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct98
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size1008.0 B
Episode 5
 
3
Episode 3
 
3
Episode 9
 
3
Blippi Visits The Horse And Reindeer Farm | Animals For Kids
 
2
Episode 26
 
2
Other values (93)
97 

Length

Max length85
Median length58.5
Mean length20.33636364
Min length3

Characters and Unicode

Total characters2237
Distinct characters130
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)80.9%

Sample

1st rowChanyeol's Episode 23
2nd rowСерия 10
3rd rowСерия 11
4th rowСерия 21
5th rowЭмигрант. Часть 1

Common Values

ValueCountFrequency (%)
Episode 53
 
2.7%
Episode 33
 
2.7%
Episode 93
 
2.7%
Blippi Visits The Horse And Reindeer Farm | Animals For Kids2
 
1.8%
Episode 262
 
1.8%
Terra Firma, Part 22
 
1.8%
Episode 22
 
1.8%
Episode 102
 
1.8%
2. Bölüm2
 
1.8%
I kissed my handsome guy friend at school1
 
0.9%
Other values (88)88
80.0%

Length

2022-09-04T23:41:13.954648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode32
 
8.1%
the16
 
4.0%
and12
 
3.0%
27
 
1.8%
серия6
 
1.5%
16
 
1.5%
35
 
1.3%
5
 
1.3%
bölüm4
 
1.0%
173
 
0.8%
Other values (259)300
75.8%

Most occurring characters

ValueCountFrequency (%)
286
 
12.8%
e156
 
7.0%
i121
 
5.4%
o110
 
4.9%
s103
 
4.6%
r94
 
4.2%
n84
 
3.8%
d83
 
3.7%
a83
 
3.7%
t64
 
2.9%
Other values (120)1053
47.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1475
65.9%
Uppercase Letter299
 
13.4%
Space Separator286
 
12.8%
Decimal Number111
 
5.0%
Other Punctuation43
 
1.9%
Other Letter10
 
0.4%
Dash Punctuation3
 
0.1%
Open Punctuation2
 
0.1%
Math Symbol2
 
0.1%
Final Punctuation2
 
0.1%
Other values (2)4
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e156
 
10.6%
i121
 
8.2%
o110
 
7.5%
s103
 
7.0%
r94
 
6.4%
n84
 
5.7%
d83
 
5.6%
a83
 
5.6%
t64
 
4.3%
p53
 
3.6%
Other values (48)524
35.5%
Uppercase Letter
ValueCountFrequency (%)
E47
15.7%
H22
 
7.4%
T22
 
7.4%
P21
 
7.0%
C18
 
6.0%
A18
 
6.0%
M15
 
5.0%
S15
 
5.0%
O12
 
4.0%
F12
 
4.0%
Other values (27)97
32.4%
Decimal Number
ValueCountFrequency (%)
225
22.5%
124
21.6%
016
14.4%
311
9.9%
59
 
8.1%
98
 
7.2%
68
 
7.2%
75
 
4.5%
43
 
2.7%
82
 
1.8%
Other Punctuation
ValueCountFrequency (%)
:14
32.6%
.8
18.6%
,8
18.6%
'5
 
11.6%
!2
 
4.7%
#2
 
4.7%
"2
 
4.7%
?1
 
2.3%
&1
 
2.3%
Other Letter
ValueCountFrequency (%)
م2
20.0%
أ1
10.0%
ة1
10.0%
ر1
10.0%
ا1
10.0%
ض1
10.0%
ف1
10.0%
ي1
10.0%
د1
10.0%
Space Separator
ValueCountFrequency (%)
286
100.0%
Dash Punctuation
ValueCountFrequency (%)
-3
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Math Symbol
ValueCountFrequency (%)
|2
100.0%
Final Punctuation
ValueCountFrequency (%)
»2
100.0%
Initial Punctuation
ValueCountFrequency (%)
«2
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1515
67.7%
Common453
 
20.3%
Cyrillic259
 
11.6%
Arabic10
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e156
 
10.3%
i121
 
8.0%
o110
 
7.3%
s103
 
6.8%
r94
 
6.2%
n84
 
5.5%
d83
 
5.5%
a83
 
5.5%
t64
 
4.2%
p53
 
3.5%
Other values (45)564
37.2%
Cyrillic
ValueCountFrequency (%)
и28
 
10.8%
е25
 
9.7%
а17
 
6.6%
т16
 
6.2%
р16
 
6.2%
с15
 
5.8%
н15
 
5.8%
о11
 
4.2%
я10
 
3.9%
л9
 
3.5%
Other values (30)97
37.5%
Common
ValueCountFrequency (%)
286
63.1%
225
 
5.5%
124
 
5.3%
016
 
3.5%
:14
 
3.1%
311
 
2.4%
59
 
2.0%
.8
 
1.8%
98
 
1.8%
68
 
1.8%
Other values (16)44
 
9.7%
Arabic
ValueCountFrequency (%)
م2
20.0%
أ1
10.0%
ة1
10.0%
ر1
10.0%
ا1
10.0%
ض1
10.0%
ف1
10.0%
ي1
10.0%
د1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1952
87.3%
Cyrillic259
 
11.6%
None16
 
0.7%
Arabic10
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
 
14.7%
e156
 
8.0%
i121
 
6.2%
o110
 
5.6%
s103
 
5.3%
r94
 
4.8%
n84
 
4.3%
d83
 
4.3%
a83
 
4.3%
t64
 
3.3%
Other values (63)768
39.3%
Cyrillic
ValueCountFrequency (%)
и28
 
10.8%
е25
 
9.7%
а17
 
6.6%
т16
 
6.2%
р16
 
6.2%
с15
 
5.8%
н15
 
5.8%
о11
 
4.2%
я10
 
3.9%
л9
 
3.5%
Other values (30)97
37.5%
None
ValueCountFrequency (%)
ü4
25.0%
ö4
25.0%
»2
12.5%
«2
12.5%
å1
 
6.2%
ä1
 
6.2%
ó1
 
6.2%
ã1
 
6.2%
Arabic
ValueCountFrequency (%)
م2
20.0%
أ1
10.0%
ة1
10.0%
ر1
10.0%
ا1
10.0%
ض1
10.0%
ف1
10.0%
ي1
10.0%
د1
10.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.1181818
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:14.128483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation555.3703076
Coefficient of variation (CV)3.303451784
Kurtosis7.708973923
Mean168.1181818
Median Absolute Deviation (MAD)0
Skewness3.093146519
Sum18493
Variance308436.1786
MonotonicityNot monotonic
2022-09-04T23:41:14.244286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
162
56.4%
215
 
13.6%
20209
 
8.2%
37
 
6.4%
45
 
4.5%
82
 
1.8%
52
 
1.8%
101
 
0.9%
131
 
0.9%
181
 
0.9%
Other values (5)5
 
4.5%
ValueCountFrequency (%)
162
56.4%
215
 
13.6%
37
 
6.4%
45
 
4.5%
52
 
1.8%
71
 
0.9%
82
 
1.8%
91
 
0.9%
101
 
0.9%
131
 
0.9%
ValueCountFrequency (%)
20209
8.2%
511
 
0.9%
311
 
0.9%
181
 
0.9%
151
 
0.9%
131
 
0.9%
101
 
0.9%
91
 
0.9%
82
 
1.8%
71
 
0.9%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct43
Distinct (%)40.6%
Missing4
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean26.33962264
Minimum1
Maximum344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:14.430843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q323
95-th percentile98.25
Maximum344
Range343
Interquartile range (IQR)19

Descriptive statistics

Standard deviation56.23943487
Coefficient of variation (CV)2.135164791
Kurtosis20.18922463
Mean26.33962264
Median Absolute Deviation (MAD)7
Skewness4.345236374
Sum2792
Variance3162.874034
MonotonicityNot monotonic
2022-09-04T23:41:14.582468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
210
 
9.1%
19
 
8.2%
77
 
6.4%
106
 
5.5%
36
 
5.5%
66
 
5.5%
85
 
4.5%
95
 
4.5%
55
 
4.5%
44
 
3.6%
Other values (33)43
39.1%
(Missing)4
 
3.6%
ValueCountFrequency (%)
19
8.2%
210
9.1%
36
5.5%
44
 
3.6%
55
4.5%
66
5.5%
77
6.4%
85
4.5%
95
4.5%
106
5.5%
ValueCountFrequency (%)
3441
0.9%
3081
0.9%
3071
0.9%
1541
0.9%
1201
0.9%
1031
0.9%
841
0.9%
681
0.9%
641
0.9%
581
0.9%

type
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1008.0 B
regular
106 
insignificant_special
 
3
significant_special
 
1

Length

Max length21
Median length7
Mean length7.490909091
Min length7

Characters and Unicode

Total characters824
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular106
96.4%
insignificant_special3
 
2.7%
significant_special1
 
0.9%

Length

2022-09-04T23:41:14.917196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:15.048955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
regular106
96.4%
insignificant_special3
 
2.7%
significant_special1
 
0.9%

Most occurring characters

ValueCountFrequency (%)
r212
25.7%
a114
13.8%
e110
13.3%
g110
13.3%
l110
13.3%
u106
12.9%
i19
 
2.3%
n11
 
1.3%
s8
 
1.0%
c8
 
1.0%
Other values (4)16
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter820
99.5%
Connector Punctuation4
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r212
25.9%
a114
13.9%
e110
13.4%
g110
13.4%
l110
13.4%
u106
12.9%
i19
 
2.3%
n11
 
1.3%
s8
 
1.0%
c8
 
1.0%
Other values (3)12
 
1.5%
Connector Punctuation
ValueCountFrequency (%)
_4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin820
99.5%
Common4
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
r212
25.9%
a114
13.9%
e110
13.4%
g110
13.4%
l110
13.4%
u106
12.9%
i19
 
2.3%
n11
 
1.3%
s8
 
1.0%
c8
 
1.0%
Other values (3)12
 
1.5%
Common
ValueCountFrequency (%)
_4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r212
25.7%
a114
13.8%
e110
13.3%
g110
13.3%
l110
13.3%
u106
12.9%
i19
 
2.3%
n11
 
1.3%
s8
 
1.0%
c8
 
1.0%
Other values (4)16
 
1.9%

airdate
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2020-12-17
110 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1100
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-17
2nd row2020-12-17
3rd row2020-12-17
4th row2020-12-17
5th row2020-12-17

Common Values

ValueCountFrequency (%)
2020-12-17110
100.0%

Length

2022-09-04T23:41:15.191266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:15.337430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-17110
100.0%

Most occurring characters

ValueCountFrequency (%)
2330
30.0%
0220
20.0%
-220
20.0%
1220
20.0%
7110
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number880
80.0%
Dash Punctuation220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2330
37.5%
0220
25.0%
1220
25.0%
7110
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2330
30.0%
0220
20.0%
-220
20.0%
1220
20.0%
7110
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2330
30.0%
0220
20.0%
-220
20.0%
1220
20.0%
7110
 
10.0%

airtime
Categorical

HIGH CORRELATION

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1008.0 B
82 
20:00
 
7
12:00
 
5
10:00
 
3
06:00
 
2
Other values (10)
11 

Length

Max length5
Median length0
Mean length1.272727273
Min length0

Characters and Unicode

Total characters140
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)8.2%

Sample

1st row06:00
2nd row10:00
3rd row10:00
4th row
5th row

Common Values

ValueCountFrequency (%)
82
74.5%
20:007
 
6.4%
12:005
 
4.5%
10:003
 
2.7%
06:002
 
1.8%
22:002
 
1.8%
11:001
 
0.9%
17:351
 
0.9%
17:001
 
0.9%
20:201
 
0.9%
Other values (5)5
 
4.5%

Length

2022-09-04T23:41:15.441505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:007
25.0%
12:005
17.9%
10:003
10.7%
06:002
 
7.1%
22:002
 
7.1%
11:001
 
3.6%
17:351
 
3.6%
17:001
 
3.6%
20:201
 
3.6%
18:001
 
3.6%
Other values (4)4
14.3%

Most occurring characters

ValueCountFrequency (%)
065
46.4%
:28
20.0%
219
 
13.6%
116
 
11.4%
53
 
2.1%
93
 
2.1%
62
 
1.4%
72
 
1.4%
31
 
0.7%
81
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number112
80.0%
Other Punctuation28
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
065
58.0%
219
 
17.0%
116
 
14.3%
53
 
2.7%
93
 
2.7%
62
 
1.8%
72
 
1.8%
31
 
0.9%
81
 
0.9%
Other Punctuation
ValueCountFrequency (%)
:28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
065
46.4%
:28
20.0%
219
 
13.6%
116
 
11.4%
53
 
2.1%
93
 
2.1%
62
 
1.4%
72
 
1.4%
31
 
0.7%
81
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
065
46.4%
:28
20.0%
219
 
13.6%
116
 
11.4%
53
 
2.1%
93
 
2.1%
62
 
1.4%
72
 
1.4%
31
 
0.7%
81
 
0.7%

airstamp
Categorical

HIGH CORRELATION

Distinct21
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2020-12-17T12:00:00+00:00
42 
2020-12-17T04:00:00+00:00
13 
2020-12-17T17:00:00+00:00
10 
2020-12-17T00:00:00+00:00
2020-12-17T11:00:00+00:00
Other values (16)
31 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2750
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)7.3%

Sample

1st row2020-12-16T21:00:00+00:00
2nd row2020-12-16T22:00:00+00:00
3rd row2020-12-16T22:00:00+00:00
4th row2020-12-17T00:00:00+00:00
5th row2020-12-17T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-17T12:00:00+00:0042
38.2%
2020-12-17T04:00:00+00:0013
 
11.8%
2020-12-17T17:00:00+00:0010
 
9.1%
2020-12-17T00:00:00+00:007
 
6.4%
2020-12-17T11:00:00+00:007
 
6.4%
2020-12-17T09:00:00+00:005
 
4.5%
2020-12-17T03:00:00+00:004
 
3.6%
2020-12-17T14:00:00+00:003
 
2.7%
2020-12-17T08:00:00+00:003
 
2.7%
2020-12-17T10:00:00+00:002
 
1.8%
Other values (11)14
 
12.7%

Length

2022-09-04T23:41:15.540342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-17t12:00:00+00:0042
38.2%
2020-12-17t04:00:00+00:0013
 
11.8%
2020-12-17t17:00:00+00:0010
 
9.1%
2020-12-17t00:00:00+00:007
 
6.4%
2020-12-17t11:00:00+00:007
 
6.4%
2020-12-17t09:00:00+00:005
 
4.5%
2020-12-17t03:00:00+00:004
 
3.6%
2020-12-17t14:00:00+00:003
 
2.7%
2020-12-17t08:00:00+00:003
 
2.7%
2020-12-16t22:00:00+00:002
 
1.8%
Other values (11)14
 
12.7%

Most occurring characters

ValueCountFrequency (%)
01144
41.6%
2380
 
13.8%
:330
 
12.0%
1295
 
10.7%
-220
 
8.0%
7116
 
4.2%
T110
 
4.0%
+110
 
4.0%
416
 
0.6%
37
 
0.3%
Other values (4)22
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1980
72.0%
Other Punctuation330
 
12.0%
Dash Punctuation220
 
8.0%
Uppercase Letter110
 
4.0%
Math Symbol110
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01144
57.8%
2380
 
19.2%
1295
 
14.9%
7116
 
5.9%
416
 
0.8%
37
 
0.4%
87
 
0.4%
96
 
0.3%
56
 
0.3%
63
 
0.2%
Other Punctuation
ValueCountFrequency (%)
:330
100.0%
Dash Punctuation
ValueCountFrequency (%)
-220
100.0%
Uppercase Letter
ValueCountFrequency (%)
T110
100.0%
Math Symbol
ValueCountFrequency (%)
+110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common2640
96.0%
Latin110
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01144
43.3%
2380
 
14.4%
:330
 
12.5%
1295
 
11.2%
-220
 
8.3%
7116
 
4.4%
+110
 
4.2%
416
 
0.6%
37
 
0.3%
87
 
0.3%
Other values (3)15
 
0.6%
Latin
ValueCountFrequency (%)
T110
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01144
41.6%
2380
 
13.8%
:330
 
12.0%
1295
 
10.7%
-220
 
8.0%
7116
 
4.2%
T110
 
4.0%
+110
 
4.0%
416
 
0.6%
37
 
0.3%
Other values (4)22
 
0.8%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct37
Distinct (%)36.6%
Missing9
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean38.56435644
Minimum6
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:15.653247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8
Q118
median38
Q345
95-th percentile88
Maximum240
Range234
Interquartile range (IQR)27

Descriptive statistics

Standard deviation30.81701343
Coefficient of variation (CV)0.7991061249
Kurtosis18.21948418
Mean38.56435644
Median Absolute Deviation (MAD)15
Skewness3.353014507
Sum3895
Variance949.6883168
MonotonicityNot monotonic
2022-09-04T23:41:15.785853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
4520
18.2%
207
 
6.4%
307
 
6.4%
126
 
5.5%
605
 
4.5%
185
 
4.5%
424
 
3.6%
154
 
3.6%
73
 
2.7%
1203
 
2.7%
Other values (27)37
33.6%
(Missing)9
 
8.2%
ValueCountFrequency (%)
62
 
1.8%
73
2.7%
82
 
1.8%
101
 
0.9%
126
5.5%
131
 
0.9%
154
3.6%
161
 
0.9%
173
2.7%
185
4.5%
ValueCountFrequency (%)
2401
 
0.9%
1203
2.7%
911
 
0.9%
881
 
0.9%
731
 
0.9%
611
 
0.9%
605
4.5%
591
 
0.9%
541
 
0.9%
531
 
0.9%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing110
Missing (%)100.0%
Memory size1008.0 B

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct25
Distinct (%)100.0%
Missing85
Missing (%)77.3%
Memory size1008.0 B
<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>
 
1
<p>Jason goes on a date with a woman who is forced to bring her young son along, and it's clear he has no home training. The date quickly goes bad and leads him back to Carmen. Bryan deals with the fallout of his relationship much to the crew's dismay. Lacy gets the call for a new opportunity. Carmen makes herself comfortable in Jason's life.</p>
 
1
<p>AJ starts exuding some odd behavior as he protests to go back to Baltimore. Mounting inconsistencies emerge about Corey that leaves Sam in doubt.</p>
 
1
<p>Perhaps the biggest rivalry in six-man football, the Greyhounds take on their cross-town rival, the Gordon Longhorns with all of Strawn watching.</p>
 
1
<p>Cynthia is in disbelief as she has finally caught Malcolm and Sarah in their long-standing affair. Ruth shares troubling news with Oliver about what really happens when the girls leave with Lilo. The Highest and River's relationship grows as Dikahn's dislike for River grows. </p>
 
1
Other values (20)
20 

Length

Max length498
Median length168
Mean length229.44
Min length60

Characters and Unicode

Total characters5736
Distinct characters74
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>
2nd row<p>Saifah and Zon having resolved the tension between them spend time together and define their relationship.  </p>
3rd row<p>Georgiou uncovers the true depths of the plot against her, leading her to a revelation about how deeply her time on the U.S.S. Discovery truly changed her.</p>
4th row<p>The Mighty Nein locate their prize but quickly learn that adversaries and conflict can come from even the most unexpected corners... </p>
5th row<p>The intrepid trio find themselves back on four wheels for their latest adventure. Armed with sports cars, Richard, James and Jeremy think they are in for a cushy road trip as they arrive on the exotic island of Reunion and race on the world's most expensive piece of tarmac. But a bizarre challenge propels them to Madagascar where they must tackle the world's toughest road.</p>

Common Values

ValueCountFrequency (%)
<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>1
 
0.9%
<p>Jason goes on a date with a woman who is forced to bring her young son along, and it's clear he has no home training. The date quickly goes bad and leads him back to Carmen. Bryan deals with the fallout of his relationship much to the crew's dismay. Lacy gets the call for a new opportunity. Carmen makes herself comfortable in Jason's life.</p>1
 
0.9%
<p>AJ starts exuding some odd behavior as he protests to go back to Baltimore. Mounting inconsistencies emerge about Corey that leaves Sam in doubt.</p>1
 
0.9%
<p>Perhaps the biggest rivalry in six-man football, the Greyhounds take on their cross-town rival, the Gordon Longhorns with all of Strawn watching.</p>1
 
0.9%
<p>Cynthia is in disbelief as she has finally caught Malcolm and Sarah in their long-standing affair. Ruth shares troubling news with Oliver about what really happens when the girls leave with Lilo. The Highest and River's relationship grows as Dikahn's dislike for River grows. </p>1
 
0.9%
<p>Hosted by D.J. "Shangela" Pierce (HBO's "We're Here," "RuPaul's Drag Race," "A Star Is Born"), this reunion special is a chance for Chad, Faith, Garrett and their love interests to unwrap everything that's gone down since last Christmas - from settling scores and revealing juicy behind-the-scenes stories to unmasking secret hookups and answering whether our couples stayed together... or said goodbye. With her trademark flair, humor and insight, Shangela stokes the Yule log fire.</p>1
 
0.9%
<p>It's Alive with Brad Leone is back for episode 77 and this time Brad is learning all about oyster reefs. Join Brad in New York Harbor as he learns how oyster shells are put to work after restaurants dispose of them. New York Harbor used to have 220,000 acres of oyster reefs, but it only took 100 years to harvest them all once Europeans arrived. That's where Billion Oyster Project comes in -- recreating New York's lost oyster fields. And Brad's here to help.</p>1
 
0.9%
<p>Oscar, Hedgehog and Puddle must figure out what's wrong with the King when he orders the aliens to turn all the planet's</p>1
 
0.9%
<p>Hedgehog and Oscar discover alien jesters who live under the floorboards of the castle.</p>1
 
0.9%
<p>The King leaves Hedgehog and Oscar in charge of the kingdom while he and Puddle are away - their only duty is to carry out</p>1
 
0.9%
Other values (15)15
 
13.6%
(Missing)85
77.3%

Length

2022-09-04T23:41:15.928851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the55
 
5.8%
and34
 
3.6%
to33
 
3.5%
of17
 
1.8%
on14
 
1.5%
her13
 
1.4%
a13
 
1.4%
with13
 
1.4%
in12
 
1.3%
their11
 
1.2%
Other values (559)730
77.2%

Most occurring characters

ValueCountFrequency (%)
918
16.0%
e541
 
9.4%
t359
 
6.3%
a337
 
5.9%
o328
 
5.7%
r310
 
5.4%
n298
 
5.2%
s298
 
5.2%
i277
 
4.8%
h261
 
4.6%
Other values (64)1809
31.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4257
74.2%
Space Separator921
 
16.1%
Uppercase Letter237
 
4.1%
Other Punctuation175
 
3.1%
Math Symbol112
 
2.0%
Decimal Number13
 
0.2%
Dash Punctuation11
 
0.2%
Close Punctuation3
 
0.1%
Open Punctuation3
 
0.1%
Other Letter3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e541
12.7%
t359
 
8.4%
a337
 
7.9%
o328
 
7.7%
r310
 
7.3%
n298
 
7.0%
s298
 
7.0%
i277
 
6.5%
h261
 
6.1%
l179
 
4.2%
Other values (16)1069
25.1%
Uppercase Letter
ValueCountFrequency (%)
T21
 
8.9%
S21
 
8.9%
M18
 
7.6%
A15
 
6.3%
B15
 
6.3%
C14
 
5.9%
H13
 
5.5%
J12
 
5.1%
W11
 
4.6%
N9
 
3.8%
Other values (13)88
37.1%
Other Punctuation
ValueCountFrequency (%)
.57
32.6%
,44
25.1%
/28
16.0%
'27
15.4%
"10
 
5.7%
:3
 
1.7%
#3
 
1.7%
?1
 
0.6%
!1
 
0.6%
%1
 
0.6%
Decimal Number
ValueCountFrequency (%)
06
46.2%
92
 
15.4%
22
 
15.4%
72
 
15.4%
11
 
7.7%
Space Separator
ValueCountFrequency (%)
918
99.7%
 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
<56
50.0%
>56
50.0%
Other Letter
ValueCountFrequency (%)
2
66.7%
1
33.3%
Dash Punctuation
ValueCountFrequency (%)
-11
100.0%
Close Punctuation
ValueCountFrequency (%)
)3
100.0%
Open Punctuation
ValueCountFrequency (%)
(3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4494
78.3%
Common1239
 
21.6%
Hangul3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e541
12.0%
t359
 
8.0%
a337
 
7.5%
o328
 
7.3%
r310
 
6.9%
n298
 
6.6%
s298
 
6.6%
i277
 
6.2%
h261
 
5.8%
l179
 
4.0%
Other values (39)1306
29.1%
Common
ValueCountFrequency (%)
918
74.1%
.57
 
4.6%
<56
 
4.5%
>56
 
4.5%
,44
 
3.6%
/28
 
2.3%
'27
 
2.2%
-11
 
0.9%
"10
 
0.8%
06
 
0.5%
Other values (13)26
 
2.1%
Hangul
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII5729
99.9%
None3
 
0.1%
Compat Jamo3
 
0.1%
Misc Symbols1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
16.0%
e541
 
9.4%
t359
 
6.3%
a337
 
5.9%
o328
 
5.7%
r310
 
5.4%
n298
 
5.2%
s298
 
5.2%
i277
 
4.8%
h261
 
4.6%
Other values (60)1802
31.5%
None
ValueCountFrequency (%)
 3
100.0%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

rating.average
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct6
Distinct (%)100.0%
Missing104
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean8.566666667
Minimum6.5
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:16.025851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.5
5-th percentile6.9
Q18.175
median8.65
Q39.35
95-th percentile9.875
Maximum10
Range3.5
Interquartile range (IQR)1.175

Descriptive statistics

Standard deviation1.229091806
Coefficient of variation (CV)0.1434737516
Kurtosis0.8915185064
Mean8.566666667
Median Absolute Deviation (MAD)0.7
Skewness-0.8302329211
Sum51.4
Variance1.510666667
MonotonicityNot monotonic
2022-09-04T23:41:16.113029image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
9.51
 
0.9%
8.11
 
0.9%
8.91
 
0.9%
6.51
 
0.9%
8.41
 
0.9%
101
 
0.9%
(Missing)104
94.5%
ValueCountFrequency (%)
6.51
0.9%
8.11
0.9%
8.41
0.9%
8.91
0.9%
9.51
0.9%
101
0.9%
ValueCountFrequency (%)
101
0.9%
9.51
0.9%
8.91
0.9%
8.41
0.9%
8.11
0.9%
6.51
0.9%

_links.self.href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
https://api.tvmaze.com/episodes/1988861
 
1
https://api.tvmaze.com/episodes/1976097
 
1
https://api.tvmaze.com/episodes/2000060
 
1
https://api.tvmaze.com/episodes/1997517
 
1
https://api.tvmaze.com/episodes/1997516
 
1
Other values (105)
105 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters4290
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1988861
2nd rowhttps://api.tvmaze.com/episodes/1977892
3rd rowhttps://api.tvmaze.com/episodes/1977898
4th rowhttps://api.tvmaze.com/episodes/1963998
5th rowhttps://api.tvmaze.com/episodes/1949910

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19888611
 
0.9%
https://api.tvmaze.com/episodes/19760971
 
0.9%
https://api.tvmaze.com/episodes/20000601
 
0.9%
https://api.tvmaze.com/episodes/19975171
 
0.9%
https://api.tvmaze.com/episodes/19975161
 
0.9%
https://api.tvmaze.com/episodes/19909011
 
0.9%
https://api.tvmaze.com/episodes/19884031
 
0.9%
https://api.tvmaze.com/episodes/19856981
 
0.9%
https://api.tvmaze.com/episodes/19856971
 
0.9%
https://api.tvmaze.com/episodes/19856961
 
0.9%
Other values (100)100
90.9%

Length

2022-09-04T23:41:16.258771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19888611
 
0.9%
https://api.tvmaze.com/episodes/21690601
 
0.9%
https://api.tvmaze.com/episodes/19639981
 
0.9%
https://api.tvmaze.com/episodes/19499101
 
0.9%
https://api.tvmaze.com/episodes/19499111
 
0.9%
https://api.tvmaze.com/episodes/19607281
 
0.9%
https://api.tvmaze.com/episodes/19824051
 
0.9%
https://api.tvmaze.com/episodes/19824061
 
0.9%
https://api.tvmaze.com/episodes/19880121
 
0.9%
https://api.tvmaze.com/episodes/19857871
 
0.9%
Other values (100)100
90.9%

Most occurring characters

ValueCountFrequency (%)
/440
 
10.3%
p330
 
7.7%
s330
 
7.7%
e330
 
7.7%
t330
 
7.7%
o220
 
5.1%
a220
 
5.1%
i220
 
5.1%
.220
 
5.1%
m220
 
5.1%
Other values (16)1430
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2750
64.1%
Other Punctuation770
 
17.9%
Decimal Number770
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p330
12.0%
s330
12.0%
e330
12.0%
t330
12.0%
o220
8.0%
a220
8.0%
i220
8.0%
m220
8.0%
h110
 
4.0%
d110
 
4.0%
Other values (3)330
12.0%
Decimal Number
ValueCountFrequency (%)
9143
18.6%
1122
15.8%
079
10.3%
274
9.6%
872
9.4%
769
9.0%
356
 
7.3%
655
 
7.1%
555
 
7.1%
445
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/440
57.1%
.220
28.6%
:110
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2750
64.1%
Common1540
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/440
28.6%
.220
14.3%
9143
 
9.3%
1122
 
7.9%
:110
 
7.1%
079
 
5.1%
274
 
4.8%
872
 
4.7%
769
 
4.5%
356
 
3.6%
Other values (3)155
 
10.1%
Latin
ValueCountFrequency (%)
p330
12.0%
s330
12.0%
e330
12.0%
t330
12.0%
o220
8.0%
a220
8.0%
i220
8.0%
m220
8.0%
h110
 
4.0%
d110
 
4.0%
Other values (3)330
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/440
 
10.3%
p330
 
7.7%
s330
 
7.7%
e330
 
7.7%
t330
 
7.7%
o220
 
5.1%
a220
 
5.1%
i220
 
5.1%
.220
 
5.1%
m220
 
5.1%
Other values (16)1430
33.3%

_embedded.show.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct85
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45173.88182
Minimum2504
Maximum63719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:16.382812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2504
5-th percentile15250
Q141620.25
median50669
Q352772.25
95-th percentile58544.1
Maximum63719
Range61215
Interquartile range (IQR)11152

Descriptive statistics

Standard deviation13457.43974
Coefficient of variation (CV)0.2979031067
Kurtosis1.828250641
Mean45173.88182
Median Absolute Deviation (MAD)3281.5
Skewness-1.590575883
Sum4969127
Variance181102684.3
MonotonicityNot monotonic
2022-09-04T23:41:16.523211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
526184
 
3.6%
524354
 
3.6%
266433
 
2.7%
498433
 
2.7%
608482
 
1.8%
152502
 
1.8%
527432
 
1.8%
586892
 
1.8%
547622
 
1.8%
527992
 
1.8%
Other values (75)84
76.4%
ValueCountFrequency (%)
25041
0.9%
50581
0.9%
65441
0.9%
74801
0.9%
132151
0.9%
152502
1.8%
166651
0.9%
167531
0.9%
170461
0.9%
170781
0.9%
ValueCountFrequency (%)
637191
0.9%
608482
1.8%
598531
0.9%
586892
1.8%
583671
0.9%
575561
0.9%
573851
0.9%
568481
0.9%
566051
0.9%
562531
0.9%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct85
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size1008.0 B
https://www.tvmaze.com/shows/52618/unter-freunden-stirbt-man-nicht
 
4
https://www.tvmaze.com/shows/52435/schulz-saves-america
 
4
https://www.tvmaze.com/shows/26643/summer-camp-island
 
3
https://www.tvmaze.com/shows/49843/aile-sirketi
 
3
https://www.tvmaze.com/shows/60848/blippi
 
2
Other values (80)
94 

Length

Max length83
Median length57
Mean length50.5
Min length39

Characters and Unicode

Total characters5555
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)60.0%

Sample

1st rowhttps://www.tvmaze.com/shows/41648/sim-for-you
2nd rowhttps://www.tvmaze.com/shows/39115/obycnaa-zensina
3rd rowhttps://www.tvmaze.com/shows/39115/obycnaa-zensina
4th rowhttps://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
5th rowhttps://www.tvmaze.com/shows/48151/smesariki-novyj-sezon

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/52618/unter-freunden-stirbt-man-nicht4
 
3.6%
https://www.tvmaze.com/shows/52435/schulz-saves-america4
 
3.6%
https://www.tvmaze.com/shows/26643/summer-camp-island3
 
2.7%
https://www.tvmaze.com/shows/49843/aile-sirketi3
 
2.7%
https://www.tvmaze.com/shows/60848/blippi2
 
1.8%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
1.8%
https://www.tvmaze.com/shows/52743/the-penalty-zone2
 
1.8%
https://www.tvmaze.com/shows/58689/my-supernatural-power2
 
1.8%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze2
 
1.8%
https://www.tvmaze.com/shows/52799/futmallscom2
 
1.8%
Other values (75)84
76.4%

Length

2022-09-04T23:41:16.676287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/52618/unter-freunden-stirbt-man-nicht4
 
3.6%
https://www.tvmaze.com/shows/52435/schulz-saves-america4
 
3.6%
https://www.tvmaze.com/shows/26643/summer-camp-island3
 
2.7%
https://www.tvmaze.com/shows/49843/aile-sirketi3
 
2.7%
https://www.tvmaze.com/shows/47912/the-wolf2
 
1.8%
https://www.tvmaze.com/shows/52806/ultimate-note2
 
1.8%
https://www.tvmaze.com/shows/52181/volk2
 
1.8%
https://www.tvmaze.com/shows/52105/be-with-you2
 
1.8%
https://www.tvmaze.com/shows/52421/you-complete-me2
 
1.8%
https://www.tvmaze.com/shows/53830/witches2
 
1.8%
Other values (75)84
76.4%

Most occurring characters

ValueCountFrequency (%)
/550
 
9.9%
w463
 
8.3%
t460
 
8.3%
s443
 
8.0%
o316
 
5.7%
e301
 
5.4%
m281
 
5.1%
h280
 
5.0%
a230
 
4.1%
.220
 
4.0%
Other values (29)2011
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3926
70.7%
Other Punctuation880
 
15.8%
Decimal Number557
 
10.0%
Dash Punctuation192
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w463
11.8%
t460
11.7%
s443
11.3%
o316
 
8.0%
e301
 
7.7%
m281
 
7.2%
h280
 
7.1%
a230
 
5.9%
c159
 
4.0%
p139
 
3.5%
Other values (15)854
21.8%
Decimal Number
ValueCountFrequency (%)
596
17.2%
468
12.2%
265
11.7%
656
10.1%
854
9.7%
154
9.7%
350
9.0%
048
8.6%
734
 
6.1%
932
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/550
62.5%
.220
 
25.0%
:110
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3926
70.7%
Common1629
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w463
11.8%
t460
11.7%
s443
11.3%
o316
 
8.0%
e301
 
7.7%
m281
 
7.2%
h280
 
7.1%
a230
 
5.9%
c159
 
4.0%
p139
 
3.5%
Other values (15)854
21.8%
Common
ValueCountFrequency (%)
/550
33.8%
.220
 
13.5%
-192
 
11.8%
:110
 
6.8%
596
 
5.9%
468
 
4.2%
265
 
4.0%
656
 
3.4%
854
 
3.3%
154
 
3.3%
Other values (4)164
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII5555
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/550
 
9.9%
w463
 
8.3%
t460
 
8.3%
s443
 
8.0%
o316
 
5.7%
e301
 
5.4%
m281
 
5.1%
h280
 
5.0%
a230
 
4.1%
.220
 
4.0%
Other values (29)2011
36.2%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct85
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size1008.0 B
Unter Freunden stirbt man nicht
 
4
Schulz Saves America
 
4
Summer Camp Island
 
3
Aile Şirketi
 
3
Blippi
 
2
Other values (80)
94 

Length

Max length50
Median length23
Mean length15.80909091
Min length4

Characters and Unicode

Total characters1739
Distinct characters105
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)60.0%

Sample

1st rowSim for You
2nd rowОбычная женщина
3rd rowОбычная женщина
4th row257 причин, чтобы жить
5th rowСмешарики. Новый сезон

Common Values

ValueCountFrequency (%)
Unter Freunden stirbt man nicht4
 
3.6%
Schulz Saves America4
 
3.6%
Summer Camp Island3
 
2.7%
Aile Şirketi3
 
2.7%
Blippi2
 
1.8%
The Young Turks2
 
1.8%
The Penalty Zone2
 
1.8%
My Supernatural Power2
 
1.8%
Youths in the Breeze2
 
1.8%
Futmalls.com2
 
1.8%
Other values (75)84
76.4%

Length

2022-09-04T23:41:16.781988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the19
 
6.2%
you5
 
1.6%
america4
 
1.3%
love4
 
1.3%
my4
 
1.3%
freunden4
 
1.3%
island4
 
1.3%
unter4
 
1.3%
nicht4
 
1.3%
saves4
 
1.3%
Other values (190)248
81.6%

Most occurring characters

ValueCountFrequency (%)
194
 
11.2%
e171
 
9.8%
t93
 
5.3%
r92
 
5.3%
a85
 
4.9%
i79
 
4.5%
o79
 
4.5%
n78
 
4.5%
s63
 
3.6%
h53
 
3.0%
Other values (95)752
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1246
71.7%
Uppercase Letter262
 
15.1%
Space Separator194
 
11.2%
Other Punctuation26
 
1.5%
Decimal Number11
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e171
13.7%
t93
 
7.5%
r92
 
7.4%
a85
 
6.8%
i79
 
6.3%
o79
 
6.3%
n78
 
6.3%
s63
 
5.1%
h53
 
4.3%
l52
 
4.2%
Other values (46)401
32.2%
Uppercase Letter
ValueCountFrequency (%)
S34
 
13.0%
T32
 
12.2%
M18
 
6.9%
B17
 
6.5%
A15
 
5.7%
W14
 
5.3%
C13
 
5.0%
F11
 
4.2%
Y10
 
3.8%
R9
 
3.4%
Other values (25)89
34.0%
Other Punctuation
ValueCountFrequency (%)
.6
23.1%
'6
23.1%
:5
19.2%
!4
15.4%
,2
 
7.7%
&2
 
7.7%
?1
 
3.8%
Decimal Number
ValueCountFrequency (%)
25
45.5%
02
 
18.2%
71
 
9.1%
51
 
9.1%
11
 
9.1%
61
 
9.1%
Space Separator
ValueCountFrequency (%)
194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1348
77.5%
Common231
 
13.3%
Cyrillic160
 
9.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e171
 
12.7%
t93
 
6.9%
r92
 
6.8%
a85
 
6.3%
i79
 
5.9%
o79
 
5.9%
n78
 
5.8%
s63
 
4.7%
h53
 
3.9%
l52
 
3.9%
Other values (45)503
37.3%
Cyrillic
ValueCountFrequency (%)
н15
 
9.4%
е15
 
9.4%
а15
 
9.4%
о11
 
6.9%
и11
 
6.9%
к8
 
5.0%
ы7
 
4.4%
т5
 
3.1%
я5
 
3.1%
ч5
 
3.1%
Other values (26)63
39.4%
Common
ValueCountFrequency (%)
194
84.0%
.6
 
2.6%
'6
 
2.6%
25
 
2.2%
:5
 
2.2%
!4
 
1.7%
02
 
0.9%
,2
 
0.9%
&2
 
0.9%
71
 
0.4%
Other values (4)4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1571
90.3%
Cyrillic160
 
9.2%
None8
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
 
12.3%
e171
 
10.9%
t93
 
5.9%
r92
 
5.9%
a85
 
5.4%
i79
 
5.0%
o79
 
5.0%
n78
 
5.0%
s63
 
4.0%
h53
 
3.4%
Other values (54)584
37.2%
Cyrillic
ValueCountFrequency (%)
н15
 
9.4%
е15
 
9.4%
а15
 
9.4%
о11
 
6.9%
и11
 
6.9%
к8
 
5.0%
ы7
 
4.4%
т5
 
3.1%
я5
 
3.1%
ч5
 
3.1%
Other values (26)63
39.4%
None
ValueCountFrequency (%)
Ş3
37.5%
ı2
25.0%
Ç1
 
12.5%
ğ1
 
12.5%
ø1
 
12.5%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct9
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size1008.0 B
Scripted
63 
Talk Show
15 
Animation
11 
Reality
Variety
 
4
Other values (4)

Length

Max length11
Median length8
Mean length8.1
Min length4

Characters and Unicode

Total characters891
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowReality
2nd rowScripted
3rd rowScripted
4th rowScripted
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted63
57.3%
Talk Show15
 
13.6%
Animation11
 
10.0%
Reality9
 
8.2%
Variety4
 
3.6%
Documentary3
 
2.7%
News2
 
1.8%
Sports2
 
1.8%
Game Show1
 
0.9%

Length

2022-09-04T23:41:16.913892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:17.050160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
scripted63
50.0%
show16
 
12.7%
talk15
 
11.9%
animation11
 
8.7%
reality9
 
7.1%
variety4
 
3.2%
documentary3
 
2.4%
news2
 
1.6%
sports2
 
1.6%
game1
 
0.8%

Most occurring characters

ValueCountFrequency (%)
i98
11.0%
t92
10.3%
e82
9.2%
S81
9.1%
r72
 
8.1%
c66
 
7.4%
p65
 
7.3%
d63
 
7.1%
a43
 
4.8%
o32
 
3.6%
Other values (17)197
22.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter749
84.1%
Uppercase Letter126
 
14.1%
Space Separator16
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i98
13.1%
t92
12.3%
e82
10.9%
r72
9.6%
c66
8.8%
p65
8.7%
d63
8.4%
a43
 
5.7%
o32
 
4.3%
n25
 
3.3%
Other values (8)111
14.8%
Uppercase Letter
ValueCountFrequency (%)
S81
64.3%
T15
 
11.9%
A11
 
8.7%
R9
 
7.1%
V4
 
3.2%
D3
 
2.4%
N2
 
1.6%
G1
 
0.8%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin875
98.2%
Common16
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i98
11.2%
t92
10.5%
e82
9.4%
S81
9.3%
r72
 
8.2%
c66
 
7.5%
p65
 
7.4%
d63
 
7.2%
a43
 
4.9%
o32
 
3.7%
Other values (16)181
20.7%
Common
ValueCountFrequency (%)
16
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII891
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i98
11.0%
t92
10.3%
e82
9.2%
S81
9.1%
r72
 
8.1%
c66
 
7.4%
p65
 
7.3%
d63
 
7.1%
a43
 
4.8%
o32
 
3.6%
Other values (17)197
22.1%

_embedded.show.language
Categorical

HIGH CORRELATION

Distinct15
Distinct (%)13.8%
Missing1
Missing (%)0.9%
Memory size1008.0 B
English
35 
Chinese
22 
Russian
16 
Korean
10 
German
Other values (10)
21 

Length

Max length10
Median length7
Mean length6.853211009
Min length4

Characters and Unicode

Total characters747
Distinct characters32
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)3.7%

Sample

1st rowKorean
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowRussian

Common Values

ValueCountFrequency (%)
English35
31.8%
Chinese22
20.0%
Russian16
14.5%
Korean10
 
9.1%
German5
 
4.5%
Norwegian4
 
3.6%
Turkish4
 
3.6%
Arabic3
 
2.7%
Thai2
 
1.8%
Dutch2
 
1.8%
Other values (5)6
 
5.5%

Length

2022-09-04T23:41:17.224236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english35
32.1%
chinese22
20.2%
russian16
14.7%
korean10
 
9.2%
german5
 
4.6%
norwegian4
 
3.7%
turkish4
 
3.7%
arabic3
 
2.8%
thai2
 
1.8%
dutch2
 
1.8%
Other values (5)6
 
5.5%

Most occurring characters

ValueCountFrequency (%)
s97
13.0%
n93
12.4%
i88
11.8%
e68
9.1%
h67
9.0%
a45
 
6.0%
g43
 
5.8%
l37
 
5.0%
E35
 
4.7%
r28
 
3.7%
Other values (22)146
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter638
85.4%
Uppercase Letter109
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s97
15.2%
n93
14.6%
i88
13.8%
e68
10.7%
h67
10.5%
a45
7.1%
g43
6.7%
l37
 
5.8%
r28
 
4.4%
u26
 
4.1%
Other values (10)46
7.2%
Uppercase Letter
ValueCountFrequency (%)
E35
32.1%
C22
20.2%
R16
14.7%
K10
 
9.2%
T7
 
6.4%
G5
 
4.6%
N4
 
3.7%
A3
 
2.8%
D2
 
1.8%
P2
 
1.8%
Other values (2)3
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
Latin747
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s97
13.0%
n93
12.4%
i88
11.8%
e68
9.1%
h67
9.0%
a45
 
6.0%
g43
 
5.8%
l37
 
5.0%
E35
 
4.7%
r28
 
3.7%
Other values (22)146
19.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s97
13.0%
n93
12.4%
i88
11.8%
e68
9.1%
h67
9.0%
a45
 
6.0%
g43
 
5.8%
l37
 
5.0%
E35
 
4.7%
r28
 
3.7%
Other values (22)146
19.5%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size1008.0 B

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1008.0 B
Ended
54 
Running
46 
To Be Determined
10 

Length

Max length16
Median length7
Mean length6.836363636
Min length5

Characters and Unicode

Total characters752
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowEnded
3rd rowEnded
4th rowEnded
5th rowRunning

Common Values

ValueCountFrequency (%)
Ended54
49.1%
Running46
41.8%
To Be Determined10
 
9.1%

Length

2022-09-04T23:41:17.368355image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:17.491533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
ended54
41.5%
running46
35.4%
to10
 
7.7%
be10
 
7.7%
determined10
 
7.7%

Most occurring characters

ValueCountFrequency (%)
n202
26.9%
d118
15.7%
e94
12.5%
i56
 
7.4%
E54
 
7.2%
R46
 
6.1%
u46
 
6.1%
g46
 
6.1%
20
 
2.7%
T10
 
1.3%
Other values (6)60
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter602
80.1%
Uppercase Letter130
 
17.3%
Space Separator20
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n202
33.6%
d118
19.6%
e94
15.6%
i56
 
9.3%
u46
 
7.6%
g46
 
7.6%
o10
 
1.7%
t10
 
1.7%
r10
 
1.7%
m10
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
E54
41.5%
R46
35.4%
T10
 
7.7%
B10
 
7.7%
D10
 
7.7%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin732
97.3%
Common20
 
2.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n202
27.6%
d118
16.1%
e94
12.8%
i56
 
7.7%
E54
 
7.4%
R46
 
6.3%
u46
 
6.3%
g46
 
6.3%
T10
 
1.4%
o10
 
1.4%
Other values (5)50
 
6.8%
Common
ValueCountFrequency (%)
20
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n202
26.9%
d118
15.7%
e94
12.5%
i56
 
7.4%
E54
 
7.2%
R46
 
6.1%
u46
 
6.1%
g46
 
6.1%
20
 
2.7%
T10
 
1.3%
Other values (6)60
 
8.0%

_embedded.show.runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct21
Distinct (%)28.4%
Missing36
Missing (%)32.7%
Infinite0
Infinite (%)0.0%
Mean40.71621622
Minimum5
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:17.628534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q120.75
median43.5
Q345
95-th percentile60.7
Maximum240
Range235
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation31.32748816
Coefficient of variation (CV)0.7694105953
Kurtosis22.65757696
Mean40.71621622
Median Absolute Deviation (MAD)13.5
Skewness3.910361709
Sum3013
Variance981.4115143
MonotonicityNot monotonic
2022-09-04T23:41:17.763828image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4522
20.0%
308
 
7.3%
207
 
6.4%
606
 
5.5%
74
 
3.6%
424
 
3.6%
503
 
2.7%
403
 
2.7%
162
 
1.8%
1202
 
1.8%
Other values (11)13
 
11.8%
(Missing)36
32.7%
ValueCountFrequency (%)
51
 
0.9%
74
3.6%
81
 
0.9%
101
 
0.9%
121
 
0.9%
151
 
0.9%
162
 
1.8%
181
 
0.9%
207
6.4%
231
 
0.9%
ValueCountFrequency (%)
2401
 
0.9%
1202
 
1.8%
621
 
0.9%
606
 
5.5%
512
 
1.8%
503
 
2.7%
4522
20.0%
424
 
3.6%
403
 
2.7%
308
 
7.3%

_embedded.show.averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct43
Distinct (%)40.6%
Missing4
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean37.30188679
Minimum2
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:17.894373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q119.25
median39
Q345
95-th percentile65
Maximum212
Range210
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation27.60923579
Coefficient of variation (CV)0.7401565489
Kurtosis15.3475406
Mean37.30188679
Median Absolute Deviation (MAD)15.5
Skewness2.956219899
Sum3954
Variance762.2699012
MonotonicityNot monotonic
2022-09-04T23:41:18.254404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4520
18.2%
306
 
5.5%
605
 
4.5%
204
 
3.6%
424
 
3.6%
114
 
3.6%
504
 
3.6%
174
 
3.6%
74
 
3.6%
123
 
2.7%
Other values (33)48
43.6%
(Missing)4
 
3.6%
ValueCountFrequency (%)
21
 
0.9%
74
3.6%
82
1.8%
91
 
0.9%
102
1.8%
114
3.6%
123
2.7%
141
 
0.9%
151
 
0.9%
162
1.8%
ValueCountFrequency (%)
2121
 
0.9%
1202
 
1.8%
1021
 
0.9%
771
 
0.9%
661
 
0.9%
621
 
0.9%
605
4.5%
572
 
1.8%
562
 
1.8%
541
 
0.9%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct65
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2020-12-17
14 
2020-12-10
 
7
2020-11-19
 
5
2020-11-26
 
4
2020-08-06
 
3
Other values (60)
77 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1100
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)43.6%

Sample

1st row2019-03-25
2nd row2018-10-29
3rd row2018-10-29
4th row2020-03-26
5th row2020-05-18

Common Values

ValueCountFrequency (%)
2020-12-1714
 
12.7%
2020-12-107
 
6.4%
2020-11-195
 
4.5%
2020-11-264
 
3.6%
2020-08-063
 
2.7%
2018-07-073
 
2.7%
2020-11-183
 
2.7%
2020-11-123
 
2.7%
2020-12-073
 
2.7%
2020-12-033
 
2.7%
Other values (55)62
56.4%

Length

2022-09-04T23:41:18.418393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-1714
 
12.7%
2020-12-107
 
6.4%
2020-11-195
 
4.5%
2020-11-264
 
3.6%
2020-08-063
 
2.7%
2018-07-073
 
2.7%
2020-11-183
 
2.7%
2020-11-123
 
2.7%
2020-12-073
 
2.7%
2020-12-033
 
2.7%
Other values (55)62
56.4%

Most occurring characters

ValueCountFrequency (%)
0273
24.8%
2250
22.7%
-220
20.0%
1197
17.9%
730
 
2.7%
830
 
2.7%
926
 
2.4%
325
 
2.3%
620
 
1.8%
417
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number880
80.0%
Dash Punctuation220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0273
31.0%
2250
28.4%
1197
22.4%
730
 
3.4%
830
 
3.4%
926
 
3.0%
325
 
2.8%
620
 
2.3%
417
 
1.9%
512
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
-220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0273
24.8%
2250
22.7%
-220
20.0%
1197
17.9%
730
 
2.7%
830
 
2.7%
926
 
2.4%
325
 
2.3%
620
 
1.8%
417
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0273
24.8%
2250
22.7%
-220
20.0%
1197
17.9%
730
 
2.7%
830
 
2.7%
926
 
2.4%
325
 
2.3%
620
 
1.8%
417
 
1.5%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct25
Distinct (%)46.3%
Missing56
Missing (%)50.9%
Memory size1008.0 B
2020-12-17
12 
2020-12-24
2021-01-14
2021-10-07
2020-12-18
Other values (20)
27 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters540
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)24.1%

Sample

1st row2021-01-07
2nd row2021-01-07
3rd row2021-01-21
4th row2020-12-24
5th row2020-12-28

Common Values

ValueCountFrequency (%)
2020-12-1712
 
10.9%
2020-12-245
 
4.5%
2021-01-144
 
3.6%
2021-10-073
 
2.7%
2020-12-183
 
2.7%
2021-01-022
 
1.8%
2021-01-092
 
1.8%
2021-01-072
 
1.8%
2020-12-302
 
1.8%
2020-12-222
 
1.8%
Other values (15)17
 
15.5%
(Missing)56
50.9%

Length

2022-09-04T23:41:18.535434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-1712
22.2%
2020-12-245
 
9.3%
2021-01-144
 
7.4%
2021-10-073
 
5.6%
2020-12-183
 
5.6%
2020-12-302
 
3.7%
2020-12-282
 
3.7%
2021-01-042
 
3.7%
2020-12-222
 
3.7%
2021-01-072
 
3.7%
Other values (15)17
31.5%

Most occurring characters

ValueCountFrequency (%)
2160
29.6%
0124
23.0%
-108
20.0%
199
18.3%
719
 
3.5%
413
 
2.4%
87
 
1.3%
93
 
0.6%
53
 
0.6%
32
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number432
80.0%
Dash Punctuation108
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2160
37.0%
0124
28.7%
199
22.9%
719
 
4.4%
413
 
3.0%
87
 
1.6%
93
 
0.7%
53
 
0.7%
32
 
0.5%
62
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
-108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2160
29.6%
0124
23.0%
-108
20.0%
199
18.3%
719
 
3.5%
413
 
2.4%
87
 
1.3%
93
 
0.6%
53
 
0.6%
32
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2160
29.6%
0124
23.0%
-108
20.0%
199
18.3%
719
 
3.5%
413
 
2.4%
87
 
1.3%
93
 
0.6%
53
 
0.6%
32
 
0.4%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct77
Distinct (%)78.6%
Missing12
Missing (%)10.9%
Memory size1008.0 B
https://www.tvnow.de/serien/unter-freunden-stirbt-man-nicht-19005
 
4
https://www.netflix.com/title/81383020
 
4
https://www.beinconnect.com.tr/diziler/aile-sirketi
 
3
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO
 
3
https://www.iqiyi.com/a_nvzsmw0tgx.html
 
2
Other values (72)
82 

Length

Max length250
Median length67
Mean length53.6122449
Min length18

Characters and Unicode

Total characters5254
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)63.3%

Sample

1st rowhttps://www.vlive.tv/video/121637
2nd rowhttps://premier.one/show/8405
3rd rowhttps://premier.one/show/8405
4th rowhttps://start.ru/watch/257-prichin-chtoby-zhit
5th rowhttps://www.kinopoisk.ru/series/1379016/

Common Values

ValueCountFrequency (%)
https://www.tvnow.de/serien/unter-freunden-stirbt-man-nicht-190054
 
3.6%
https://www.netflix.com/title/813830204
 
3.6%
https://www.beinconnect.com.tr/diziler/aile-sirketi3
 
2.7%
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO3
 
2.7%
https://www.iqiyi.com/a_nvzsmw0tgx.html2
 
1.8%
https://www.iqiyi.com/a_19rrhllpip.html2
 
1.8%
https://www.tytnetwork.com2
 
1.8%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef2
 
1.8%
https://so.youku.com/search_video/q_%E9%A2%84%E6%94%AF%E6%9C%AA%E6%9D%A5?spm=a2hbt.13141534.left-title-content-wrap.5~A2
 
1.8%
https://v.qq.com/detail/m/mzc00200gbahyn5.html2
 
1.8%
Other values (67)72
65.5%
(Missing)12
 
10.9%

Length

2022-09-04T23:41:18.693511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvnow.de/serien/unter-freunden-stirbt-man-nicht-190054
 
4.1%
https://www.netflix.com/title/813830204
 
4.1%
https://www.beinconnect.com.tr/diziler/aile-sirketi3
 
3.1%
https://play.hbomax.com/series/urn:hbo:series:gxkydlageby7czgeaacho3
 
3.1%
https://v.qq.com/detail/m/mzc00200gbahyn5.html2
 
2.0%
https://premier.one/show/123392
 
2.0%
https://premier.one/show/84052
 
2.0%
https://www.wavve.com/player/vod?programid=c9901_c99000000047&page=12
 
2.0%
https://www.iqiyi.com/lib/m_213579814.html2
 
2.0%
https://www.kinopoisk.ru/series/13790162
 
2.0%
Other values (67)72
73.5%

Most occurring characters

ValueCountFrequency (%)
/402
 
7.7%
t384
 
7.3%
e269
 
5.1%
s267
 
5.1%
w217
 
4.1%
.209
 
4.0%
o206
 
3.9%
h194
 
3.7%
i194
 
3.7%
p173
 
3.3%
Other values (65)2739
52.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3350
63.8%
Other Punctuation831
 
15.8%
Decimal Number588
 
11.2%
Uppercase Letter347
 
6.6%
Dash Punctuation84
 
1.6%
Math Symbol32
 
0.6%
Connector Punctuation22
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t384
 
11.5%
e269
 
8.0%
s267
 
8.0%
w217
 
6.5%
o206
 
6.1%
h194
 
5.8%
i194
 
5.8%
p173
 
5.2%
r161
 
4.8%
a151
 
4.5%
Other values (16)1134
33.9%
Uppercase Letter
ValueCountFrequency (%)
A43
 
12.4%
D28
 
8.1%
C25
 
7.2%
E23
 
6.6%
P17
 
4.9%
T16
 
4.6%
B15
 
4.3%
L14
 
4.0%
O13
 
3.7%
Y13
 
3.7%
Other values (16)140
40.3%
Decimal Number
ValueCountFrequency (%)
195
16.2%
073
12.4%
362
10.5%
961
10.4%
459
10.0%
556
9.5%
652
8.8%
850
8.5%
247
8.0%
733
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/402
48.4%
.209
25.2%
:136
 
16.4%
%57
 
6.9%
?16
 
1.9%
&7
 
0.8%
#2
 
0.2%
!2
 
0.2%
Math Symbol
ValueCountFrequency (%)
=28
87.5%
~2
 
6.2%
+2
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
-84
100.0%
Connector Punctuation
ValueCountFrequency (%)
_22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3697
70.4%
Common1557
29.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t384
 
10.4%
e269
 
7.3%
s267
 
7.2%
w217
 
5.9%
o206
 
5.6%
h194
 
5.2%
i194
 
5.2%
p173
 
4.7%
r161
 
4.4%
a151
 
4.1%
Other values (42)1481
40.1%
Common
ValueCountFrequency (%)
/402
25.8%
.209
13.4%
:136
 
8.7%
195
 
6.1%
-84
 
5.4%
073
 
4.7%
362
 
4.0%
961
 
3.9%
459
 
3.8%
%57
 
3.7%
Other values (13)319
20.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII5254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/402
 
7.7%
t384
 
7.3%
e269
 
5.1%
s267
 
5.1%
w217
 
4.1%
.209
 
4.0%
o206
 
3.9%
h194
 
3.7%
i194
 
3.7%
p173
 
3.3%
Other values (65)2739
52.1%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1008.0 B
87 
20:00
 
7
22:00
 
3
12:00
 
2
11:00
 
1
Other values (10)
10 

Length

Max length5
Median length0
Mean length1.045454545
Min length0

Characters and Unicode

Total characters115
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)10.0%

Sample

1st row
2nd row22:00
3rd row22:00
4th row
5th row

Common Values

ValueCountFrequency (%)
87
79.1%
20:007
 
6.4%
22:003
 
2.7%
12:002
 
1.8%
11:001
 
0.9%
10:001
 
0.9%
06:001
 
0.9%
17:351
 
0.9%
20:301
 
0.9%
17:001
 
0.9%
Other values (5)5
 
4.5%

Length

2022-09-04T23:41:18.900570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:007
30.4%
22:003
13.0%
12:002
 
8.7%
11:001
 
4.3%
10:001
 
4.3%
06:001
 
4.3%
17:351
 
4.3%
20:301
 
4.3%
17:001
 
4.3%
20:201
 
4.3%
Other values (4)4
17.4%

Most occurring characters

ValueCountFrequency (%)
051
44.3%
:23
20.0%
219
 
16.5%
111
 
9.6%
53
 
2.6%
72
 
1.7%
32
 
1.7%
92
 
1.7%
61
 
0.9%
81
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number92
80.0%
Other Punctuation23
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
051
55.4%
219
 
20.7%
111
 
12.0%
53
 
3.3%
72
 
2.2%
32
 
2.2%
92
 
2.2%
61
 
1.1%
81
 
1.1%
Other Punctuation
ValueCountFrequency (%)
:23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
051
44.3%
:23
20.0%
219
 
16.5%
111
 
9.6%
53
 
2.6%
72
 
1.7%
32
 
1.7%
92
 
1.7%
61
 
0.9%
81
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
051
44.3%
:23
20.0%
219
 
16.5%
111
 
9.6%
53
 
2.6%
72
 
1.7%
32
 
1.7%
92
 
1.7%
61
 
0.9%
81
 
0.9%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size1008.0 B

_embedded.show.rating.average
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct13
Distinct (%)68.4%
Missing91
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean6.805263158
Minimum5.3
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:19.004642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.39
Q15.9
median6.8
Q37.6
95-th percentile8.11
Maximum8.2
Range2.9
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation0.9868432749
Coefficient of variation (CV)0.1450117728
Kurtosis-1.235282059
Mean6.805263158
Median Absolute Deviation (MAD)0.9
Skewness-0.2996388549
Sum129.3
Variance0.9738596491
MonotonicityNot monotonic
2022-09-04T23:41:19.115736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6.84
 
3.6%
5.43
 
2.7%
7.72
 
1.8%
7.41
 
0.9%
7.51
 
0.9%
81
 
0.9%
8.21
 
0.9%
5.81
 
0.9%
71
 
0.9%
8.11
 
0.9%
Other values (3)3
 
2.7%
(Missing)91
82.7%
ValueCountFrequency (%)
5.31
 
0.9%
5.43
2.7%
5.81
 
0.9%
61
 
0.9%
6.84
3.6%
71
 
0.9%
7.21
 
0.9%
7.41
 
0.9%
7.51
 
0.9%
7.72
1.8%
ValueCountFrequency (%)
8.21
 
0.9%
8.11
 
0.9%
81
 
0.9%
7.72
1.8%
7.51
 
0.9%
7.41
 
0.9%
7.21
 
0.9%
71
 
0.9%
6.84
3.6%
61
 
0.9%

_embedded.show.weight
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct52
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.69090909
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:19.277572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.45
Q116
median30
Q345.5
95-th percentile91
Maximum100
Range98
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation26.11468899
Coefficient of variation (CV)0.7117482132
Kurtosis0.008162684757
Mean36.69090909
Median Absolute Deviation (MAD)14
Skewness1.019521847
Sum4036
Variance681.9769808
MonotonicityNot monotonic
2022-09-04T23:41:19.441738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159
 
8.2%
168
 
7.3%
236
 
5.5%
275
 
4.5%
304
 
3.6%
344
 
3.6%
394
 
3.6%
203
 
2.7%
353
 
2.7%
373
 
2.7%
Other values (42)61
55.5%
ValueCountFrequency (%)
21
 
0.9%
42
1.8%
51
 
0.9%
61
 
0.9%
71
 
0.9%
82
1.8%
92
1.8%
111
 
0.9%
131
 
0.9%
143
2.7%
ValueCountFrequency (%)
1001
 
0.9%
992
1.8%
971
 
0.9%
913
2.7%
881
 
0.9%
853
2.7%
841
 
0.9%
822
1.8%
782
1.8%
741
 
0.9%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing110
Missing (%)100.0%
Memory size1008.0 B

_embedded.show.webChannel.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct44
Distinct (%)40.7%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean170.6574074
Minimum1
Maximum516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:19.613464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.05
Q127.75
median118
Q3303.25
95-th percentile399.2
Maximum516
Range515
Interquartile range (IQR)275.5

Descriptive statistics

Standard deviation140.940311
Coefficient of variation (CV)0.8258669407
Kurtosis-0.9858318501
Mean170.6574074
Median Absolute Deviation (MAD)97
Skewness0.5320414357
Sum18431
Variance19864.17125
MonotonicityNot monotonic
2022-09-04T23:41:19.808961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2119
17.3%
1188
 
7.3%
3296
 
5.5%
1046
 
5.5%
2814
 
3.6%
14
 
3.6%
1074
 
3.6%
674
 
3.6%
3684
 
3.6%
2093
 
2.7%
Other values (34)46
41.8%
ValueCountFrequency (%)
14
 
3.6%
31
 
0.9%
121
 
0.9%
152
 
1.8%
2119
17.3%
302
 
1.8%
451
 
0.9%
511
 
0.9%
674
 
3.6%
882
 
1.8%
ValueCountFrequency (%)
5161
 
0.9%
4981
 
0.9%
4521
 
0.9%
4093
2.7%
3812
1.8%
3792
1.8%
3684
3.6%
3651
 
0.9%
3521
 
0.9%
3511
 
0.9%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION
MISSING

Distinct44
Distinct (%)40.7%
Missing2
Missing (%)1.8%
Memory size1008.0 B
YouTube
19 
Youku
HBO Max
 
6
Tencent QQ
 
6
Premier
 
4
Other values (39)
65 

Length

Max length17
Median length13
Mean length7.592592593
Min length3

Characters and Unicode

Total characters820
Distinct characters60
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)21.3%

Sample

1st rowV LIVE
2nd rowPremier
3rd rowPremier
4th rowStart
5th rowКиноПоиск HD

Common Values

ValueCountFrequency (%)
YouTube19
17.3%
Youku8
 
7.3%
HBO Max6
 
5.5%
Tencent QQ6
 
5.5%
Premier4
 
3.6%
Netflix4
 
3.6%
Paramount+4
 
3.6%
iQIYI4
 
3.6%
RTL+4
 
3.6%
ALLBLK3
 
2.7%
Other values (34)46
41.8%

Length

2022-09-04T23:41:19.958532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
youtube19
 
13.0%
tv8
 
5.5%
youku8
 
5.5%
hbo6
 
4.1%
max6
 
4.1%
tencent6
 
4.1%
qq6
 
4.1%
premier4
 
2.7%
netflix4
 
2.7%
paramount4
 
2.7%
Other values (47)75
51.4%

Most occurring characters

ValueCountFrequency (%)
e68
 
8.3%
u62
 
7.6%
o49
 
6.0%
T45
 
5.5%
38
 
4.6%
a38
 
4.6%
i37
 
4.5%
Y31
 
3.8%
t31
 
3.8%
b28
 
3.4%
Other values (50)393
47.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter497
60.6%
Uppercase Letter269
32.8%
Space Separator38
 
4.6%
Math Symbol11
 
1.3%
Other Punctuation3
 
0.4%
Decimal Number2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e68
13.7%
u62
12.5%
o49
 
9.9%
a38
 
7.6%
i37
 
7.4%
t31
 
6.2%
b28
 
5.6%
r21
 
4.2%
n20
 
4.0%
l15
 
3.0%
Other values (20)128
25.8%
Uppercase Letter
ValueCountFrequency (%)
T45
16.7%
Y31
11.5%
N20
 
7.4%
V19
 
7.1%
Q16
 
5.9%
L16
 
5.9%
I15
 
5.6%
P13
 
4.8%
B12
 
4.5%
C10
 
3.7%
Other values (16)72
26.8%
Space Separator
ValueCountFrequency (%)
38
100.0%
Math Symbol
ValueCountFrequency (%)
+11
100.0%
Other Punctuation
ValueCountFrequency (%)
.3
100.0%
Decimal Number
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin748
91.2%
Common54
 
6.6%
Cyrillic18
 
2.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e68
 
9.1%
u62
 
8.3%
o49
 
6.6%
T45
 
6.0%
a38
 
5.1%
i37
 
4.9%
Y31
 
4.1%
t31
 
4.1%
b28
 
3.7%
r21
 
2.8%
Other values (39)338
45.2%
Cyrillic
ValueCountFrequency (%)
и4
22.2%
о4
22.2%
к2
11.1%
с2
11.1%
П2
11.1%
н2
11.1%
К2
11.1%
Common
ValueCountFrequency (%)
38
70.4%
+11
 
20.4%
.3
 
5.6%
22
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII801
97.7%
Cyrillic18
 
2.2%
None1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e68
 
8.5%
u62
 
7.7%
o49
 
6.1%
T45
 
5.6%
38
 
4.7%
a38
 
4.7%
i37
 
4.6%
Y31
 
3.9%
t31
 
3.9%
b28
 
3.5%
Other values (42)374
46.7%
Cyrillic
ValueCountFrequency (%)
и4
22.2%
о4
22.2%
к2
11.1%
с2
11.1%
П2
11.1%
н2
11.1%
К2
11.1%
None
ValueCountFrequency (%)
é1
100.0%

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct11
Distinct (%)18.3%
Missing50
Missing (%)45.5%
Memory size1008.0 B
China
17 
Russian Federation
11 
United States
Korea, Republic of
Germany
Other values (6)
12 

Length

Max length18
Median length13
Mean length10.51666667
Min length5

Characters and Unicode

Total characters631
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)5.0%

Sample

1st rowKorea, Republic of
2nd rowRussian Federation
3rd rowRussian Federation
4th rowRussian Federation
5th rowRussian Federation

Common Values

ValueCountFrequency (%)
China17
 
15.5%
Russian Federation11
 
10.0%
United States8
 
7.3%
Korea, Republic of7
 
6.4%
Germany5
 
4.5%
Turkey4
 
3.6%
Norway3
 
2.7%
Brazil2
 
1.8%
Malaysia1
 
0.9%
Kazakhstan1
 
0.9%
(Missing)50
45.5%

Length

2022-09-04T23:41:20.092964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
china17
18.3%
russian11
11.8%
federation11
11.8%
united8
8.6%
states8
8.6%
korea7
7.5%
republic7
7.5%
of7
7.5%
germany5
 
5.4%
turkey4
 
4.3%
Other values (5)8
8.6%

Most occurring characters

ValueCountFrequency (%)
a71
 
11.3%
e63
 
10.0%
i57
 
9.0%
n54
 
8.6%
t37
 
5.9%
33
 
5.2%
s33
 
5.2%
r33
 
5.2%
o28
 
4.4%
u22
 
3.5%
Other values (24)200
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter505
80.0%
Uppercase Letter86
 
13.6%
Space Separator33
 
5.2%
Other Punctuation7
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a71
14.1%
e63
12.5%
i57
11.3%
n54
10.7%
t37
7.3%
s33
 
6.5%
r33
 
6.5%
o28
 
5.5%
u22
 
4.4%
d20
 
4.0%
Other values (11)87
17.2%
Uppercase Letter
ValueCountFrequency (%)
R18
20.9%
C17
19.8%
F11
12.8%
K8
9.3%
S8
9.3%
U8
9.3%
G5
 
5.8%
T4
 
4.7%
N4
 
4.7%
B2
 
2.3%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Punctuation
ValueCountFrequency (%)
,7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin591
93.7%
Common40
 
6.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a71
12.0%
e63
 
10.7%
i57
 
9.6%
n54
 
9.1%
t37
 
6.3%
s33
 
5.6%
r33
 
5.6%
o28
 
4.7%
u22
 
3.7%
d20
 
3.4%
Other values (22)173
29.3%
Common
ValueCountFrequency (%)
33
82.5%
,7
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII631
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a71
 
11.3%
e63
 
10.0%
i57
 
9.0%
n54
 
8.6%
t37
 
5.9%
33
 
5.2%
s33
 
5.2%
r33
 
5.2%
o28
 
4.4%
u22
 
3.5%
Other values (24)200
31.7%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct11
Distinct (%)18.3%
Missing50
Missing (%)45.5%
Memory size1008.0 B
CN
17 
RU
11 
US
KR
DE
Other values (6)
12 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters120
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)5.0%

Sample

1st rowKR
2nd rowRU
3rd rowRU
4th rowRU
5th rowRU

Common Values

ValueCountFrequency (%)
CN17
 
15.5%
RU11
 
10.0%
US8
 
7.3%
KR7
 
6.4%
DE5
 
4.5%
TR4
 
3.6%
NO3
 
2.7%
BR2
 
1.8%
MY1
 
0.9%
KZ1
 
0.9%
(Missing)50
45.5%

Length

2022-09-04T23:41:20.239282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cn17
28.3%
ru11
18.3%
us8
13.3%
kr7
11.7%
de5
 
8.3%
tr4
 
6.7%
no3
 
5.0%
br2
 
3.3%
my1
 
1.7%
kz1
 
1.7%

Most occurring characters

ValueCountFrequency (%)
R24
20.0%
N21
17.5%
U19
15.8%
C17
14.2%
S8
 
6.7%
K8
 
6.7%
D5
 
4.2%
E5
 
4.2%
T4
 
3.3%
O3
 
2.5%
Other values (5)6
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter120
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R24
20.0%
N21
17.5%
U19
15.8%
C17
14.2%
S8
 
6.7%
K8
 
6.7%
D5
 
4.2%
E5
 
4.2%
T4
 
3.3%
O3
 
2.5%
Other values (5)6
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Latin120
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R24
20.0%
N21
17.5%
U19
15.8%
C17
14.2%
S8
 
6.7%
K8
 
6.7%
D5
 
4.2%
E5
 
4.2%
T4
 
3.3%
O3
 
2.5%
Other values (5)6
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R24
20.0%
N21
17.5%
U19
15.8%
C17
14.2%
S8
 
6.7%
K8
 
6.7%
D5
 
4.2%
E5
 
4.2%
T4
 
3.3%
O3
 
2.5%
Other values (5)6
 
5.0%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct11
Distinct (%)18.3%
Missing50
Missing (%)45.5%
Memory size1008.0 B
Asia/Shanghai
17 
Asia/Kamchatka
11 
America/New_York
Asia/Seoul
Europe/Busingen
Other values (6)
12 

Length

Max length16
Median length14
Mean length13.55
Min length10

Characters and Unicode

Total characters813
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)5.0%

Sample

1st rowAsia/Seoul
2nd rowAsia/Kamchatka
3rd rowAsia/Kamchatka
4th rowAsia/Kamchatka
5th rowAsia/Kamchatka

Common Values

ValueCountFrequency (%)
Asia/Shanghai17
 
15.5%
Asia/Kamchatka11
 
10.0%
America/New_York8
 
7.3%
Asia/Seoul7
 
6.4%
Europe/Busingen5
 
4.5%
Europe/Istanbul4
 
3.6%
Europe/Oslo3
 
2.7%
America/Noronha2
 
1.8%
Asia/Kuching1
 
0.9%
Asia/Qyzylorda1
 
0.9%
(Missing)50
45.5%

Length

2022-09-04T23:41:20.361461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
asia/shanghai17
28.3%
asia/kamchatka11
18.3%
america/new_york8
13.3%
asia/seoul7
11.7%
europe/busingen5
 
8.3%
europe/istanbul4
 
6.7%
europe/oslo3
 
5.0%
america/noronha2
 
3.3%
asia/kuching1
 
1.7%
asia/qyzylorda1
 
1.7%

Most occurring characters

ValueCountFrequency (%)
a122
15.0%
i70
 
8.6%
/60
 
7.4%
s50
 
6.2%
A48
 
5.9%
h48
 
5.9%
e44
 
5.4%
o36
 
4.4%
r35
 
4.3%
n34
 
4.2%
Other values (23)266
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter617
75.9%
Uppercase Letter128
 
15.7%
Other Punctuation60
 
7.4%
Connector Punctuation8
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a122
19.8%
i70
11.3%
s50
 
8.1%
h48
 
7.8%
e44
 
7.1%
o36
 
5.8%
r35
 
5.7%
n34
 
5.5%
u30
 
4.9%
g23
 
3.7%
Other values (11)125
20.3%
Uppercase Letter
ValueCountFrequency (%)
A48
37.5%
S24
18.8%
E13
 
10.2%
K12
 
9.4%
N10
 
7.8%
Y8
 
6.2%
B5
 
3.9%
I4
 
3.1%
O3
 
2.3%
Q1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin745
91.6%
Common68
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a122
16.4%
i70
 
9.4%
s50
 
6.7%
A48
 
6.4%
h48
 
6.4%
e44
 
5.9%
o36
 
4.8%
r35
 
4.7%
n34
 
4.6%
u30
 
4.0%
Other values (21)228
30.6%
Common
ValueCountFrequency (%)
/60
88.2%
_8
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a122
15.0%
i70
 
8.6%
/60
 
7.4%
s50
 
6.2%
A48
 
5.9%
h48
 
5.9%
e44
 
5.4%
o36
 
4.4%
r35
 
4.3%
n34
 
4.2%
Other values (23)266
32.7%

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct18
Distinct (%)29.5%
Missing49
Missing (%)44.5%
Memory size1008.0 B
https://www.youtube.com
19 
https://v.qq.com/
https://www.hbomax.com/
https://www.netflix.com/
https://www.paramountplus.com/
Other values (13)
22 

Length

Max length30
Median length26
Mean length22.78688525
Min length17

Characters and Unicode

Total characters1390
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)9.8%

Sample

1st rowhttps://www.vlive.tv/home
2nd rowhttps://hd.kinopoisk.ru/
3rd rowhttps://hd.kinopoisk.ru/
4th rowhttps://www.ivi.ru/
5th rowhttps://www.wavve.com/

Common Values

ValueCountFrequency (%)
https://www.youtube.com19
 
17.3%
https://v.qq.com/6
 
5.5%
https://www.hbomax.com/6
 
5.5%
https://www.netflix.com/4
 
3.6%
https://www.paramountplus.com/4
 
3.6%
https://www.iq.com/4
 
3.6%
https://w.mgtv.com/2
 
1.8%
https://www.linetv.tw/2
 
1.8%
https://tv.naver.com/2
 
1.8%
https://www.wavve.com/2
 
1.8%
Other values (8)10
 
9.1%
(Missing)49
44.5%

Length

2022-09-04T23:41:20.508307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.youtube.com19
31.1%
https://v.qq.com6
 
9.8%
https://www.hbomax.com6
 
9.8%
https://www.netflix.com4
 
6.6%
https://www.paramountplus.com4
 
6.6%
https://www.iq.com4
 
6.6%
https://hd.kinopoisk.ru2
 
3.3%
https://www.discoveryplus.com2
 
3.3%
https://www.wavve.com2
 
3.3%
https://tv.naver.com2
 
3.3%
Other values (8)10
16.4%

Most occurring characters

ValueCountFrequency (%)
/163
11.7%
t161
11.6%
w150
10.8%
.122
 
8.8%
o95
 
6.8%
p76
 
5.5%
s72
 
5.2%
h70
 
5.0%
m69
 
5.0%
:61
 
4.4%
Other values (17)351
25.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1044
75.1%
Other Punctuation346
 
24.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t161
15.4%
w150
14.4%
o95
9.1%
p76
 
7.3%
s72
 
6.9%
h70
 
6.7%
m69
 
6.6%
c58
 
5.6%
u51
 
4.9%
e36
 
3.4%
Other values (14)206
19.7%
Other Punctuation
ValueCountFrequency (%)
/163
47.1%
.122
35.3%
:61
 
17.6%

Most occurring scripts

ValueCountFrequency (%)
Latin1044
75.1%
Common346
 
24.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t161
15.4%
w150
14.4%
o95
9.1%
p76
 
7.3%
s72
 
6.9%
h70
 
6.7%
m69
 
6.6%
c58
 
5.6%
u51
 
4.9%
e36
 
3.4%
Other values (14)206
19.7%
Common
ValueCountFrequency (%)
/163
47.1%
.122
35.3%
:61
 
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/163
11.7%
t161
11.6%
w150
10.8%
.122
 
8.8%
o95
 
6.8%
p76
 
5.5%
s72
 
5.2%
h70
 
5.0%
m69
 
5.0%
:61
 
4.4%
Other values (17)351
25.3%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing110
Missing (%)100.0%
Memory size1008.0 B

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct3
Distinct (%)100.0%
Missing107
Missing (%)97.3%
Memory size1008.0 B
28008.0
5152.0
19056.0

Length

Max length7
Median length7
Mean length6.666666667
Min length6

Characters and Unicode

Total characters20
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row28008.0
2nd row5152.0
3rd row19056.0

Common Values

ValueCountFrequency (%)
28008.01
 
0.9%
5152.01
 
0.9%
19056.01
 
0.9%
(Missing)107
97.3%

Length

2022-09-04T23:41:20.684650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:20.830385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
28008.01
33.3%
5152.01
33.3%
19056.01
33.3%

Most occurring characters

ValueCountFrequency (%)
06
30.0%
.3
15.0%
53
15.0%
22
 
10.0%
82
 
10.0%
12
 
10.0%
91
 
5.0%
61
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number17
85.0%
Other Punctuation3
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
06
35.3%
53
17.6%
22
 
11.8%
82
 
11.8%
12
 
11.8%
91
 
5.9%
61
 
5.9%
Other Punctuation
ValueCountFrequency (%)
.3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common20
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
06
30.0%
.3
15.0%
53
15.0%
22
 
10.0%
82
 
10.0%
12
 
10.0%
91
 
5.0%
61
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII20
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
06
30.0%
.3
15.0%
53
15.0%
22
 
10.0%
82
 
10.0%
12
 
10.0%
91
 
5.0%
61
 
5.0%

_embedded.show.externals.thetvdb
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct62
Distinct (%)74.7%
Missing27
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean356091.4096
Minimum78419
Maximum397247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:20.945218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum78419
5-th percentile265920.5
Q1338738
median378036
Q3392529.5
95-th percentile394027.5
Maximum397247
Range318828
Interquartile range (IQR)53791.5

Descriptive statistics

Standard deviation58314.5993
Coefficient of variation (CV)0.163763005
Kurtosis9.372973987
Mean356091.4096
Median Absolute Deviation (MAD)15583
Skewness-2.756732824
Sum29555587
Variance3400592492
MonotonicityNot monotonic
2022-09-04T23:41:21.056217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3936194
 
3.6%
3931814
 
3.6%
3387383
 
2.7%
3871533
 
2.7%
3972472
 
1.8%
3226732
 
1.8%
2787932
 
1.8%
3924102
 
1.8%
3920522
 
1.8%
3452802
 
1.8%
Other values (52)57
51.8%
(Missing)27
24.5%
ValueCountFrequency (%)
784191
0.9%
1042711
0.9%
2060111
0.9%
2327311
0.9%
2651931
0.9%
2724681
0.9%
2787932
1.8%
2906861
0.9%
2968611
0.9%
3140871
0.9%
ValueCountFrequency (%)
3972472
1.8%
3940902
1.8%
3940451
 
0.9%
3938702
1.8%
3937431
 
0.9%
3936194
3.6%
3932292
1.8%
3931814
3.6%
3926792
1.8%
3926491
 
0.9%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct44
Distinct (%)69.8%
Missing47
Missing (%)42.7%
Memory size1008.0 B
tt13607518
 
4
tt13413120
 
4
tt12531662
 
3
tt8146760
 
3
tt13568876
 
2
Other values (39)
47 

Length

Max length10
Median length10
Mean length9.555555556
Min length9

Characters and Unicode

Total characters602
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)49.2%

Sample

1st rowtt8561620
2nd rowtt8561620
3rd rowtt11477416
4th rowtt8871128
5th rowtt8871128

Common Values

ValueCountFrequency (%)
tt136075184
 
3.6%
tt134131204
 
3.6%
tt125316623
 
2.7%
tt81467603
 
2.7%
tt135688762
 
1.8%
tt85616202
 
1.8%
tt135990002
 
1.8%
tt17148102
 
1.8%
tt65948822
 
1.8%
tt135170002
 
1.8%
Other values (34)37
33.6%
(Missing)47
42.7%

Length

2022-09-04T23:41:21.241426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tt136075184
 
6.3%
tt134131204
 
6.3%
tt125316623
 
4.8%
tt81467603
 
4.8%
tt65948822
 
3.2%
tt88711282
 
3.2%
tt136525522
 
3.2%
tt134703702
 
3.2%
tt135170002
 
3.2%
tt17148102
 
3.2%
Other values (34)37
58.7%

Most occurring characters

ValueCountFrequency (%)
t126
20.9%
188
14.6%
655
9.1%
054
9.0%
353
8.8%
845
 
7.5%
241
 
6.8%
540
 
6.6%
439
 
6.5%
737
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number476
79.1%
Lowercase Letter126
 
20.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
188
18.5%
655
11.6%
054
11.3%
353
11.1%
845
9.5%
241
8.6%
540
8.4%
439
8.2%
737
7.8%
924
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
t126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common476
79.1%
Latin126
 
20.9%

Most frequent character per script

Common
ValueCountFrequency (%)
188
18.5%
655
11.6%
054
11.3%
353
11.1%
845
9.5%
241
8.6%
540
8.4%
439
8.2%
737
7.8%
924
 
5.0%
Latin
ValueCountFrequency (%)
t126
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t126
20.9%
188
14.6%
655
9.1%
054
9.0%
353
8.8%
845
 
7.5%
241
 
6.8%
540
 
6.6%
439
 
6.5%
737
 
6.1%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct81
Distinct (%)76.4%
Missing4
Missing (%)3.6%
Memory size1008.0 B
https://static.tvmaze.com/uploads/images/medium_portrait/290/726675.jpg
 
4
https://static.tvmaze.com/uploads/images/medium_portrait/288/722182.jpg
 
4
https://static.tvmaze.com/uploads/images/medium_portrait/382/956804.jpg
 
3
https://static.tvmaze.com/uploads/images/medium_portrait/269/673130.jpg
 
3
https://static.tvmaze.com/uploads/images/medium_portrait/291/729740.jpg
 
2
Other values (76)
90 

Length

Max length72
Median length71
Mean length71.03773585
Min length70

Characters and Unicode

Total characters7530
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)58.5%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_portrait/190/476668.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/260/651809.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/257/643435.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/726675.jpg4
 
3.6%
https://static.tvmaze.com/uploads/images/medium_portrait/288/722182.jpg4
 
3.6%
https://static.tvmaze.com/uploads/images/medium_portrait/382/956804.jpg3
 
2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/269/673130.jpg3
 
2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729740.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/370/926884.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/308/770106.jpg2
 
1.8%
Other values (71)80
72.7%
(Missing)4
 
3.6%

Length

2022-09-04T23:41:21.380847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/726675.jpg4
 
3.8%
https://static.tvmaze.com/uploads/images/medium_portrait/288/722182.jpg4
 
3.8%
https://static.tvmaze.com/uploads/images/medium_portrait/382/956804.jpg3
 
2.8%
https://static.tvmaze.com/uploads/images/medium_portrait/269/673130.jpg3
 
2.8%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729462.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/medium_portrait/257/643435.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713063.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721821.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/medium_portrait/298/745480.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpg2
 
1.9%
Other values (71)80
75.5%

Most occurring characters

ValueCountFrequency (%)
/742
 
9.9%
t742
 
9.9%
a530
 
7.0%
m530
 
7.0%
p424
 
5.6%
s424
 
5.6%
i424
 
5.6%
.318
 
4.2%
e318
 
4.2%
o318
 
4.2%
Other values (22)2760
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5300
70.4%
Other Punctuation1166
 
15.5%
Decimal Number958
 
12.7%
Connector Punctuation106
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t742
14.0%
a530
10.0%
m530
10.0%
p424
 
8.0%
s424
 
8.0%
i424
 
8.0%
e318
 
6.0%
o318
 
6.0%
d212
 
4.0%
u212
 
4.0%
Other values (8)1166
22.0%
Decimal Number
ValueCountFrequency (%)
2154
16.1%
7105
11.0%
9102
10.6%
8101
10.5%
193
9.7%
384
8.8%
082
8.6%
582
8.6%
480
8.4%
675
7.8%
Other Punctuation
ValueCountFrequency (%)
/742
63.6%
.318
27.3%
:106
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5300
70.4%
Common2230
29.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t742
14.0%
a530
10.0%
m530
10.0%
p424
 
8.0%
s424
 
8.0%
i424
 
8.0%
e318
 
6.0%
o318
 
6.0%
d212
 
4.0%
u212
 
4.0%
Other values (8)1166
22.0%
Common
ValueCountFrequency (%)
/742
33.3%
.318
14.3%
2154
 
6.9%
_106
 
4.8%
:106
 
4.8%
7105
 
4.7%
9102
 
4.6%
8101
 
4.5%
193
 
4.2%
384
 
3.8%
Other values (4)319
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII7530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/742
 
9.9%
t742
 
9.9%
a530
 
7.0%
m530
 
7.0%
p424
 
5.6%
s424
 
5.6%
i424
 
5.6%
.318
 
4.2%
e318
 
4.2%
o318
 
4.2%
Other values (22)2760
36.7%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct81
Distinct (%)76.4%
Missing4
Missing (%)3.6%
Memory size1008.0 B
https://static.tvmaze.com/uploads/images/original_untouched/290/726675.jpg
 
4
https://static.tvmaze.com/uploads/images/original_untouched/288/722182.jpg
 
4
https://static.tvmaze.com/uploads/images/original_untouched/382/956804.jpg
 
3
https://static.tvmaze.com/uploads/images/original_untouched/269/673130.jpg
 
3
https://static.tvmaze.com/uploads/images/original_untouched/291/729740.jpg
 
2
Other values (76)
90 

Length

Max length75
Median length74
Mean length74.03773585
Min length73

Characters and Unicode

Total characters7848
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)58.5%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/190/476668.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/260/651809.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/257/643435.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726675.jpg4
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/288/722182.jpg4
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/382/956804.jpg3
 
2.7%
https://static.tvmaze.com/uploads/images/original_untouched/269/673130.jpg3
 
2.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/729740.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/370/926884.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg2
 
1.8%
https://static.tvmaze.com/uploads/images/original_untouched/308/770106.jpg2
 
1.8%
Other values (71)80
72.7%
(Missing)4
 
3.6%

Length

2022-09-04T23:41:21.701847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726675.jpg4
 
3.8%
https://static.tvmaze.com/uploads/images/original_untouched/288/722182.jpg4
 
3.8%
https://static.tvmaze.com/uploads/images/original_untouched/382/956804.jpg3
 
2.8%
https://static.tvmaze.com/uploads/images/original_untouched/269/673130.jpg3
 
2.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729462.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/257/643435.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/285/713063.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/288/721821.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/298/745480.jpg2
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg2
 
1.9%
Other values (71)80
75.5%

Most occurring characters

ValueCountFrequency (%)
/742
 
9.5%
t636
 
8.1%
a530
 
6.8%
s424
 
5.4%
i424
 
5.4%
o424
 
5.4%
p318
 
4.1%
c318
 
4.1%
.318
 
4.1%
g318
 
4.1%
Other values (23)3396
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5618
71.6%
Other Punctuation1166
 
14.9%
Decimal Number958
 
12.2%
Connector Punctuation106
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t636
 
11.3%
a530
 
9.4%
s424
 
7.5%
i424
 
7.5%
o424
 
7.5%
p318
 
5.7%
c318
 
5.7%
g318
 
5.7%
m318
 
5.7%
e318
 
5.7%
Other values (9)1590
28.3%
Decimal Number
ValueCountFrequency (%)
2154
16.1%
7105
11.0%
9102
10.6%
8101
10.5%
193
9.7%
384
8.8%
082
8.6%
582
8.6%
480
8.4%
675
7.8%
Other Punctuation
ValueCountFrequency (%)
/742
63.6%
.318
27.3%
:106
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5618
71.6%
Common2230
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t636
 
11.3%
a530
 
9.4%
s424
 
7.5%
i424
 
7.5%
o424
 
7.5%
p318
 
5.7%
c318
 
5.7%
g318
 
5.7%
m318
 
5.7%
e318
 
5.7%
Other values (9)1590
28.3%
Common
ValueCountFrequency (%)
/742
33.3%
.318
14.3%
2154
 
6.9%
:106
 
4.8%
_106
 
4.8%
7105
 
4.7%
9102
 
4.6%
8101
 
4.5%
193
 
4.2%
384
 
3.8%
Other values (4)319
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII7848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/742
 
9.5%
t636
 
8.1%
a530
 
6.8%
s424
 
5.4%
i424
 
5.4%
o424
 
5.4%
p318
 
4.1%
c318
 
4.1%
.318
 
4.1%
g318
 
4.1%
Other values (23)3396
43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct76
Distinct (%)76.0%
Missing10
Missing (%)9.1%
Memory size1008.0 B
<p>Comedian Andrew Schulz takes on the year's most divisive topics in this fearlessly unfiltered and irreverent four-part special.</p>
 
4
<p>Hermann has excellent prospects of winning the Nobel Prize in Economics. If only he hadn't died shortly before the award winner was announced. The dead don't win prizes.</p>
 
4
<p>Harun and Hande are brothers with opposite characters. Hande is a professional business woman in the tourism industry.</p>
 
3
<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>
 
3
<p>‎The fashion company faced a crisis. Sun Chi, the young owner of the company, at a critical moment took over the management and became the new CEO. He promised his father that in three months he would be able to promote the project "promoting fashion" that will help to get out of the crisis. ‎ </p><p>‎Gio Intao, who wanted to be the queen of the fashion industry, by coincidence got into the company and became subordinate to the "devil", a young gene. Director Sun Chi.‎   </p><p>‎Sun Chi and Xiao Intao led a fashion company to resolve the crisis and open new markets, allowing Chinese fashion brands to enter the global market step by step. At the same time, they begin to feel each other.‎</p>
 
2
Other values (71)
84 

Length

Max length1483
Median length457.5
Mean length360.71
Min length57

Characters and Unicode

Total characters36071
Distinct characters102
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)58.0%

Sample

1st row<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
3rd row<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
4th row<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
5th row<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>

Common Values

ValueCountFrequency (%)
<p>Comedian Andrew Schulz takes on the year's most divisive topics in this fearlessly unfiltered and irreverent four-part special.</p>4
 
3.6%
<p>Hermann has excellent prospects of winning the Nobel Prize in Economics. If only he hadn't died shortly before the award winner was announced. The dead don't win prizes.</p>4
 
3.6%
<p>Harun and Hande are brothers with opposite characters. Hande is a professional business woman in the tourism industry.</p>3
 
2.7%
<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>3
 
2.7%
<p>‎The fashion company faced a crisis. Sun Chi, the young owner of the company, at a critical moment took over the management and became the new CEO. He promised his father that in three months he would be able to promote the project "promoting fashion" that will help to get out of the crisis. ‎ </p><p>‎Gio Intao, who wanted to be the queen of the fashion industry, by coincidence got into the company and became subordinate to the "devil", a young gene. Director Sun Chi.‎   </p><p>‎Sun Chi and Xiao Intao led a fashion company to resolve the crisis and open new markets, allowing Chinese fashion brands to enter the global market step by step. At the same time, they begin to feel each other.‎</p>2
 
1.8%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>2
 
1.8%
<p>A story that follows a detective in the major crimes division of Nan Xing City Police Department. Together with a woman who has super memory, he upholds the law one case at a time in solving murders, burglaries and bringing down a narcotics manufacturing facility. Jing Chu is a young and capable detective. Due to his repeated merits from cracking big cases, he is promoted to the position of major crimes division vice-captain at Nan Xing city and starts to work alongside his new team. Because of a murder case, he meets Yang Mian Mian, a young woman who possesses a photographic memory. He soon realizes that Mian Mian seems to have a deep connection to his father's mysterious death many years ago. Meanwhile, a famous blogger and a member of an idol girl group die</p>2
 
1.8%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>2
 
1.8%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>2
 
1.8%
<p>Strange occurrences afflict a group of people after they purchase items on a shopping website from the future. </p>2
 
1.8%
Other values (66)74
67.3%
(Missing)10
 
9.1%

Length

2022-09-04T23:41:21.898171image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the291
 
4.8%
and229
 
3.8%
a213
 
3.5%
of148
 
2.4%
to148
 
2.4%
in111
 
1.8%
is81
 
1.3%
with66
 
1.1%
his61
 
1.0%
he56
 
0.9%
Other values (1871)4638
76.8%

Most occurring characters

ValueCountFrequency (%)
5929
16.4%
e3280
 
9.1%
a2332
 
6.5%
t2231
 
6.2%
n2110
 
5.8%
o2087
 
5.8%
i2003
 
5.6%
s1862
 
5.2%
r1703
 
4.7%
h1506
 
4.2%
Other values (92)11028
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter27240
75.5%
Space Separator5946
 
16.5%
Uppercase Letter1114
 
3.1%
Other Punctuation1031
 
2.9%
Math Symbol584
 
1.6%
Dash Punctuation60
 
0.2%
Decimal Number56
 
0.2%
Format24
 
0.1%
Open Punctuation7
 
< 0.1%
Close Punctuation7
 
< 0.1%
Other values (2)2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3280
12.0%
a2332
 
8.6%
t2231
 
8.2%
n2110
 
7.7%
o2087
 
7.7%
i2003
 
7.4%
s1862
 
6.8%
r1703
 
6.3%
h1506
 
5.5%
l1100
 
4.0%
Other values (30)7026
25.8%
Uppercase Letter
ValueCountFrequency (%)
T146
 
13.1%
S114
 
10.2%
A75
 
6.7%
C61
 
5.5%
M60
 
5.4%
H52
 
4.7%
X50
 
4.5%
J48
 
4.3%
B45
 
4.0%
D42
 
3.8%
Other values (17)421
37.8%
Other Punctuation
ValueCountFrequency (%)
,379
36.8%
.317
30.7%
/154
14.9%
'76
 
7.4%
"50
 
4.8%
:20
 
1.9%
!14
 
1.4%
?9
 
0.9%
;5
 
0.5%
&3
 
0.3%
Other values (3)4
 
0.4%
Decimal Number
ValueCountFrequency (%)
015
26.8%
110
17.9%
27
12.5%
96
 
10.7%
55
 
8.9%
34
 
7.1%
63
 
5.4%
43
 
5.4%
82
 
3.6%
71
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
-49
81.7%
9
 
15.0%
2
 
3.3%
Space Separator
ValueCountFrequency (%)
5929
99.7%
 17
 
0.3%
Math Symbol
ValueCountFrequency (%)
<292
50.0%
>292
50.0%
Format
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
(7
100.0%
Close Punctuation
ValueCountFrequency (%)
)7
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin28343
78.6%
Common7717
 
21.4%
Cyrillic11
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3280
11.6%
a2332
 
8.2%
t2231
 
7.9%
n2110
 
7.4%
o2087
 
7.4%
i2003
 
7.1%
s1862
 
6.6%
r1703
 
6.0%
h1506
 
5.3%
l1100
 
3.9%
Other values (47)8129
28.7%
Common
ValueCountFrequency (%)
5929
76.8%
,379
 
4.9%
.317
 
4.1%
<292
 
3.8%
>292
 
3.8%
/154
 
2.0%
'76
 
1.0%
"50
 
0.6%
-49
 
0.6%
24
 
0.3%
Other values (25)155
 
2.0%
Cyrillic
ValueCountFrequency (%)
а2
18.2%
м1
9.1%
е1
9.1%
т1
9.1%
я1
9.1%
к1
9.1%
с1
9.1%
у1
9.1%
М1
9.1%
ж1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII35999
99.8%
Punctuation38
 
0.1%
None23
 
0.1%
Cyrillic11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5929
16.5%
e3280
 
9.1%
a2332
 
6.5%
t2231
 
6.2%
n2110
 
5.9%
o2087
 
5.8%
i2003
 
5.6%
s1862
 
5.2%
r1703
 
4.7%
h1506
 
4.2%
Other values (71)10956
30.4%
Punctuation
ValueCountFrequency (%)
24
63.2%
9
 
23.7%
2
 
5.3%
2
 
5.3%
1
 
2.6%
None
ValueCountFrequency (%)
 17
73.9%
é2
 
8.7%
å1
 
4.3%
ö1
 
4.3%
ã1
 
4.3%
ê1
 
4.3%
Cyrillic
ValueCountFrequency (%)
а2
18.2%
м1
9.1%
е1
9.1%
т1
9.1%
я1
9.1%
к1
9.1%
с1
9.1%
у1
9.1%
М1
9.1%
ж1
9.1%

_embedded.show.updated
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct85
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1639663020
Minimum1608499007
Maximum1662346277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:22.025996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1608499007
5-th percentile1609641471
Q11618466682
median1646103844
Q31654976411
95-th percentile1661655020
Maximum1662346277
Range53847270
Interquartile range (IQR)36509729

Descriptive statistics

Standard deviation18780172.9
Coefficient of variation (CV)0.01145367839
Kurtosis-1.229842158
Mean1639663020
Median Absolute Deviation (MAD)13457077
Skewness-0.5093877265
Sum1.803629321 × 1011
Variance3.526948942 × 1014
MonotonicityNot monotonic
2022-09-04T23:41:22.125476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16089997384
 
3.6%
16131493034
 
3.6%
16393002023
 
2.7%
16407890403
 
2.7%
16464889082
 
1.8%
16481900582
 
1.8%
16549764112
 
1.8%
16357351792
 
1.8%
16184666822
 
1.8%
16097847492
 
1.8%
Other values (75)84
76.4%
ValueCountFrequency (%)
16084990071
 
0.9%
16089997384
3.6%
16096167881
 
0.9%
16096716402
1.8%
16097847492
1.8%
16101108412
1.8%
16109073001
 
0.9%
16114368421
 
0.9%
16119369521
 
0.9%
16125166641
 
0.9%
ValueCountFrequency (%)
16623462771
0.9%
16622800111
0.9%
16621437921
0.9%
16620117761
0.9%
16617704651
0.9%
16616736371
0.9%
16616322671
0.9%
16615521641
0.9%
16614348681
0.9%
16613636441
0.9%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct85
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size1008.0 B
https://api.tvmaze.com/shows/52618
 
4
https://api.tvmaze.com/shows/52435
 
4
https://api.tvmaze.com/shows/26643
 
3
https://api.tvmaze.com/shows/49843
 
3
https://api.tvmaze.com/shows/60848
 
2
Other values (80)
94 

Length

Max length34
Median length34
Mean length33.96363636
Min length33

Characters and Unicode

Total characters3736
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)60.0%

Sample

1st rowhttps://api.tvmaze.com/shows/41648
2nd rowhttps://api.tvmaze.com/shows/39115
3rd rowhttps://api.tvmaze.com/shows/39115
4th rowhttps://api.tvmaze.com/shows/43722
5th rowhttps://api.tvmaze.com/shows/48151

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/shows/526184
 
3.6%
https://api.tvmaze.com/shows/524354
 
3.6%
https://api.tvmaze.com/shows/266433
 
2.7%
https://api.tvmaze.com/shows/498433
 
2.7%
https://api.tvmaze.com/shows/608482
 
1.8%
https://api.tvmaze.com/shows/152502
 
1.8%
https://api.tvmaze.com/shows/527432
 
1.8%
https://api.tvmaze.com/shows/586892
 
1.8%
https://api.tvmaze.com/shows/547622
 
1.8%
https://api.tvmaze.com/shows/527992
 
1.8%
Other values (75)84
76.4%

Length

2022-09-04T23:41:22.214742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/shows/526184
 
3.6%
https://api.tvmaze.com/shows/524354
 
3.6%
https://api.tvmaze.com/shows/266433
 
2.7%
https://api.tvmaze.com/shows/498433
 
2.7%
https://api.tvmaze.com/shows/479122
 
1.8%
https://api.tvmaze.com/shows/528062
 
1.8%
https://api.tvmaze.com/shows/521812
 
1.8%
https://api.tvmaze.com/shows/521052
 
1.8%
https://api.tvmaze.com/shows/524212
 
1.8%
https://api.tvmaze.com/shows/538302
 
1.8%
Other values (75)84
76.4%

Most occurring characters

ValueCountFrequency (%)
/440
 
11.8%
s330
 
8.8%
t330
 
8.8%
h220
 
5.9%
p220
 
5.9%
a220
 
5.9%
o220
 
5.9%
.220
 
5.9%
m220
 
5.9%
e110
 
2.9%
Other values (16)1206
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2420
64.8%
Other Punctuation770
 
20.6%
Decimal Number546
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s330
13.6%
t330
13.6%
h220
9.1%
p220
9.1%
a220
9.1%
o220
9.1%
m220
9.1%
e110
 
4.5%
w110
 
4.5%
c110
 
4.5%
Other values (3)330
13.6%
Decimal Number
ValueCountFrequency (%)
595
17.4%
468
12.5%
260
11.0%
655
10.1%
854
9.9%
153
9.7%
350
9.2%
046
8.4%
733
 
6.0%
932
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/440
57.1%
.220
28.6%
:110
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2420
64.8%
Common1316
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/440
33.4%
.220
16.7%
:110
 
8.4%
595
 
7.2%
468
 
5.2%
260
 
4.6%
655
 
4.2%
854
 
4.1%
153
 
4.0%
350
 
3.8%
Other values (3)111
 
8.4%
Latin
ValueCountFrequency (%)
s330
13.6%
t330
13.6%
h220
9.1%
p220
9.1%
a220
9.1%
o220
9.1%
m220
9.1%
e110
 
4.5%
w110
 
4.5%
c110
 
4.5%
Other values (3)330
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII3736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/440
 
11.8%
s330
 
8.8%
t330
 
8.8%
h220
 
5.9%
p220
 
5.9%
a220
 
5.9%
o220
 
5.9%
.220
 
5.9%
m220
 
5.9%
e110
 
2.9%
Other values (16)1206
32.3%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct85
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size1008.0 B
https://api.tvmaze.com/episodes/1992657
 
4
https://api.tvmaze.com/episodes/1985698
 
4
https://api.tvmaze.com/episodes/2234373
 
3
https://api.tvmaze.com/episodes/2240041
 
3
https://api.tvmaze.com/episodes/2289418
 
2
Other values (80)
94 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters4290
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)60.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1988862
2nd rowhttps://api.tvmaze.com/episodes/1977905
3rd rowhttps://api.tvmaze.com/episodes/1977905
4th rowhttps://api.tvmaze.com/episodes/1964003
5th rowhttps://api.tvmaze.com/episodes/2164183

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19926574
 
3.6%
https://api.tvmaze.com/episodes/19856984
 
3.6%
https://api.tvmaze.com/episodes/22343733
 
2.7%
https://api.tvmaze.com/episodes/22400413
 
2.7%
https://api.tvmaze.com/episodes/22894182
 
1.8%
https://api.tvmaze.com/episodes/23012762
 
1.8%
https://api.tvmaze.com/episodes/19975522
 
1.8%
https://api.tvmaze.com/episodes/22059832
 
1.8%
https://api.tvmaze.com/episodes/20714942
 
1.8%
https://api.tvmaze.com/episodes/19993032
 
1.8%
Other values (75)84
76.4%

Length

2022-09-04T23:41:22.311335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19926574
 
3.6%
https://api.tvmaze.com/episodes/19856984
 
3.6%
https://api.tvmaze.com/episodes/22343733
 
2.7%
https://api.tvmaze.com/episodes/22400413
 
2.7%
https://api.tvmaze.com/episodes/19725912
 
1.8%
https://api.tvmaze.com/episodes/20000832
 
1.8%
https://api.tvmaze.com/episodes/19824122
 
1.8%
https://api.tvmaze.com/episodes/19760972
 
1.8%
https://api.tvmaze.com/episodes/19854962
 
1.8%
https://api.tvmaze.com/episodes/20396272
 
1.8%
Other values (75)84
76.4%

Most occurring characters

ValueCountFrequency (%)
/440
 
10.3%
t330
 
7.7%
p330
 
7.7%
s330
 
7.7%
e330
 
7.7%
a220
 
5.1%
i220
 
5.1%
.220
 
5.1%
m220
 
5.1%
o220
 
5.1%
Other values (16)1430
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2750
64.1%
Other Punctuation770
 
17.9%
Decimal Number770
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t330
12.0%
p330
12.0%
s330
12.0%
e330
12.0%
a220
8.0%
i220
8.0%
m220
8.0%
o220
8.0%
h110
 
4.0%
d110
 
4.0%
Other values (3)330
12.0%
Decimal Number
ValueCountFrequency (%)
2145
18.8%
9100
13.0%
187
11.3%
381
10.5%
077
10.0%
869
9.0%
765
8.4%
650
 
6.5%
550
 
6.5%
446
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/440
57.1%
.220
28.6%
:110
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2750
64.1%
Common1540
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/440
28.6%
.220
14.3%
2145
 
9.4%
:110
 
7.1%
9100
 
6.5%
187
 
5.6%
381
 
5.3%
077
 
5.0%
869
 
4.5%
765
 
4.2%
Other values (3)146
 
9.5%
Latin
ValueCountFrequency (%)
t330
12.0%
p330
12.0%
s330
12.0%
e330
12.0%
a220
8.0%
i220
8.0%
m220
8.0%
o220
8.0%
h110
 
4.0%
d110
 
4.0%
Other values (3)330
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/440
 
10.3%
t330
 
7.7%
p330
 
7.7%
s330
 
7.7%
e330
 
7.7%
a220
 
5.1%
i220
 
5.1%
.220
 
5.1%
m220
 
5.1%
o220
 
5.1%
Other values (16)1430
33.3%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct34
Distinct (%)100.0%
Missing76
Missing (%)69.1%
Memory size1008.0 B
https://static.tvmaze.com/uploads/images/medium_landscape/290/726728.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/290/726332.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/289/724038.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/388/971615.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/290/726303.jpg
 
1
Other values (29)
29 

Length

Max length73
Median length72
Mean length72.05882353
Min length72

Characters and Unicode

Total characters2450
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/289/723163.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/289/723164.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/301/752692.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/294/737157.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/289/723252.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726728.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726332.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/724038.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/388/971615.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726303.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726726.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726727.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/377/944452.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723278.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723341.jpg1
 
0.9%
Other values (24)24
 
21.8%
(Missing)76
69.1%

Length

2022-09-04T23:41:22.401266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726728.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723540.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723164.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/301/752692.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/294/737157.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723252.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726351.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719850.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/390/977056.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726332.jpg1
 
2.9%
Other values (24)24
70.6%

Most occurring characters

ValueCountFrequency (%)
/238
 
9.7%
a204
 
8.3%
s170
 
6.9%
t170
 
6.9%
m170
 
6.9%
e136
 
5.6%
p136
 
5.6%
.102
 
4.2%
d102
 
4.2%
i102
 
4.2%
Other values (22)920
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1734
70.8%
Other Punctuation374
 
15.3%
Decimal Number308
 
12.6%
Connector Punctuation34
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a204
11.8%
s170
9.8%
t170
9.8%
m170
9.8%
e136
 
7.8%
p136
 
7.8%
d102
 
5.9%
i102
 
5.9%
c102
 
5.9%
u68
 
3.9%
Other values (8)374
21.6%
Decimal Number
ValueCountFrequency (%)
262
20.1%
746
14.9%
833
10.7%
931
10.1%
330
9.7%
127
8.8%
026
8.4%
620
 
6.5%
417
 
5.5%
516
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/238
63.6%
.102
27.3%
:34
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1734
70.8%
Common716
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a204
11.8%
s170
9.8%
t170
9.8%
m170
9.8%
e136
 
7.8%
p136
 
7.8%
d102
 
5.9%
i102
 
5.9%
c102
 
5.9%
u68
 
3.9%
Other values (8)374
21.6%
Common
ValueCountFrequency (%)
/238
33.2%
.102
14.2%
262
 
8.7%
746
 
6.4%
_34
 
4.7%
:34
 
4.7%
833
 
4.6%
931
 
4.3%
330
 
4.2%
127
 
3.8%
Other values (4)79
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/238
 
9.7%
a204
 
8.3%
s170
 
6.9%
t170
 
6.9%
m170
 
6.9%
e136
 
5.6%
p136
 
5.6%
.102
 
4.2%
d102
 
4.2%
i102
 
4.2%
Other values (22)920
37.6%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct34
Distinct (%)100.0%
Missing76
Missing (%)69.1%
Memory size1008.0 B
https://static.tvmaze.com/uploads/images/original_untouched/290/726728.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/290/726332.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/289/724038.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/388/971615.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/290/726303.jpg
 
1
Other values (29)
29 

Length

Max length75
Median length74
Mean length74.05882353
Min length74

Characters and Unicode

Total characters2518
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/289/723163.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/289/723164.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/301/752692.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/294/737157.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/289/723252.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726728.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726332.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/724038.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/388/971615.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726303.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726726.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726727.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/377/944452.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/723278.jpg1
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/723341.jpg1
 
0.9%
Other values (24)24
 
21.8%
(Missing)76
69.1%

Length

2022-09-04T23:41:22.481632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726728.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/723540.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/723164.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/301/752692.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/294/737157.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/723252.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726351.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/287/719850.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/390/977056.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726332.jpg1
 
2.9%
Other values (24)24
70.6%

Most occurring characters

ValueCountFrequency (%)
/238
 
9.5%
t204
 
8.1%
a170
 
6.8%
s136
 
5.4%
i136
 
5.4%
o136
 
5.4%
p102
 
4.1%
c102
 
4.1%
.102
 
4.1%
g102
 
4.1%
Other values (23)1090
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1802
71.6%
Other Punctuation374
 
14.9%
Decimal Number308
 
12.2%
Connector Punctuation34
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t204
 
11.3%
a170
 
9.4%
s136
 
7.5%
i136
 
7.5%
o136
 
7.5%
p102
 
5.7%
c102
 
5.7%
g102
 
5.7%
m102
 
5.7%
e102
 
5.7%
Other values (9)510
28.3%
Decimal Number
ValueCountFrequency (%)
262
20.1%
746
14.9%
833
10.7%
931
10.1%
330
9.7%
127
8.8%
026
8.4%
620
 
6.5%
417
 
5.5%
516
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/238
63.6%
.102
27.3%
:34
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1802
71.6%
Common716
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t204
 
11.3%
a170
 
9.4%
s136
 
7.5%
i136
 
7.5%
o136
 
7.5%
p102
 
5.7%
c102
 
5.7%
g102
 
5.7%
m102
 
5.7%
e102
 
5.7%
Other values (9)510
28.3%
Common
ValueCountFrequency (%)
/238
33.2%
.102
14.2%
262
 
8.7%
746
 
6.4%
:34
 
4.7%
_34
 
4.7%
833
 
4.6%
931
 
4.3%
330
 
4.2%
127
 
3.8%
Other values (4)79
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/238
 
9.5%
t204
 
8.1%
a170
 
6.8%
s136
 
5.4%
i136
 
5.4%
o136
 
5.4%
p102
 
4.1%
c102
 
4.1%
.102
 
4.1%
g102
 
4.1%
Other values (23)1090
43.3%

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct8
Distinct (%)100.0%
Missing102
Missing (%)92.7%
Memory size1008.0 B
https://api.tvmaze.com/episodes/2381297
https://api.tvmaze.com/episodes/2383517
https://api.tvmaze.com/episodes/2371287
https://api.tvmaze.com/episodes/2380291
https://api.tvmaze.com/episodes/2370312
Other values (3)

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters312
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2381297
2nd rowhttps://api.tvmaze.com/episodes/2383517
3rd rowhttps://api.tvmaze.com/episodes/2371287
4th rowhttps://api.tvmaze.com/episodes/2380291
5th rowhttps://api.tvmaze.com/episodes/2370312

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23812971
 
0.9%
https://api.tvmaze.com/episodes/23835171
 
0.9%
https://api.tvmaze.com/episodes/23712871
 
0.9%
https://api.tvmaze.com/episodes/23802911
 
0.9%
https://api.tvmaze.com/episodes/23703121
 
0.9%
https://api.tvmaze.com/episodes/23834741
 
0.9%
https://api.tvmaze.com/episodes/23797021
 
0.9%
https://api.tvmaze.com/episodes/23820431
 
0.9%
(Missing)102
92.7%

Length

2022-09-04T23:41:22.565929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:22.669645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23812971
12.5%
https://api.tvmaze.com/episodes/23835171
12.5%
https://api.tvmaze.com/episodes/23712871
12.5%
https://api.tvmaze.com/episodes/23802911
12.5%
https://api.tvmaze.com/episodes/23703121
12.5%
https://api.tvmaze.com/episodes/23834741
12.5%
https://api.tvmaze.com/episodes/23797021
12.5%
https://api.tvmaze.com/episodes/23820431
12.5%

Most occurring characters

ValueCountFrequency (%)
/32
 
10.3%
e24
 
7.7%
p24
 
7.7%
s24
 
7.7%
t24
 
7.7%
o16
 
5.1%
a16
 
5.1%
i16
 
5.1%
.16
 
5.1%
m16
 
5.1%
Other values (15)104
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter200
64.1%
Other Punctuation56
 
17.9%
Decimal Number56
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e24
12.0%
p24
12.0%
s24
12.0%
t24
12.0%
o16
8.0%
a16
8.0%
i16
8.0%
m16
8.0%
d8
 
4.0%
h8
 
4.0%
Other values (3)24
12.0%
Decimal Number
ValueCountFrequency (%)
214
25.0%
312
21.4%
78
14.3%
86
10.7%
15
 
8.9%
04
 
7.1%
93
 
5.4%
43
 
5.4%
51
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/32
57.1%
.16
28.6%
:8
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin200
64.1%
Common112
35.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e24
12.0%
p24
12.0%
s24
12.0%
t24
12.0%
o16
8.0%
a16
8.0%
i16
8.0%
m16
8.0%
d8
 
4.0%
h8
 
4.0%
Other values (3)24
12.0%
Common
ValueCountFrequency (%)
/32
28.6%
.16
14.3%
214
12.5%
312
 
10.7%
78
 
7.1%
:8
 
7.1%
86
 
5.4%
15
 
4.5%
04
 
3.6%
93
 
2.7%
Other values (2)4
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/32
 
10.3%
e24
 
7.7%
p24
 
7.7%
s24
 
7.7%
t24
 
7.7%
o16
 
5.1%
a16
 
5.1%
i16
 
5.1%
.16
 
5.1%
m16
 
5.1%
Other values (15)104
33.3%

_embedded.show.network.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct7
Distinct (%)100.0%
Missing103
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean643.5714286
Minimum112
Maximum1808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2022-09-04T23:41:22.777751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile116.5
Q1217.5
median374
Q3888
95-th percentile1644.2
Maximum1808
Range1696
Interquartile range (IQR)670.5

Descriptive statistics

Standard deviation644.1826493
Coefficient of variation (CV)1.000949733
Kurtosis0.4373968511
Mean643.5714286
Median Absolute Deviation (MAD)247
Skewness1.28116319
Sum4505
Variance414971.2857
MonotonicityNot monotonic
2022-09-04T23:41:22.845627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12621
 
0.9%
5141
 
0.9%
3081
 
0.9%
18081
 
0.9%
1271
 
0.9%
3741
 
0.9%
1121
 
0.9%
(Missing)103
93.6%
ValueCountFrequency (%)
1121
0.9%
1271
0.9%
3081
0.9%
3741
0.9%
5141
0.9%
12621
0.9%
18081
0.9%
ValueCountFrequency (%)
18081
0.9%
12621
0.9%
5141
0.9%
3741
0.9%
3081
0.9%
1271
0.9%
1121
0.9%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct7
Distinct (%)100.0%
Missing103
Missing (%)93.6%
Memory size1008.0 B
One31
ТВ-3
ТНТ
MBC Masr
SBS
Other values (2)

Length

Max length8
Median length5
Mean length5
Min length3

Characters and Unicode

Total characters35
Distinct characters26
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowOne31
2nd rowТВ-3
3rd rowТНТ
4th rowMBC Masr
5th rowSBS

Common Values

ValueCountFrequency (%)
One311
 
0.9%
ТВ-31
 
0.9%
ТНТ1
 
0.9%
MBC Masr1
 
0.9%
SBS1
 
0.9%
TV Globo1
 
0.9%
RTL41
 
0.9%
(Missing)103
93.6%

Length

2022-09-04T23:41:22.937455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:23.032297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
one311
11.1%
тв-31
11.1%
тнт1
11.1%
mbc1
11.1%
masr1
11.1%
sbs1
11.1%
tv1
11.1%
globo1
11.1%
rtl41
11.1%

Most occurring characters

ValueCountFrequency (%)
Т3
 
8.6%
S2
 
5.7%
32
 
5.7%
o2
 
5.7%
M2
 
5.7%
B2
 
5.7%
2
 
5.7%
T2
 
5.7%
O1
 
2.9%
L1
 
2.9%
Other values (16)16
45.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter19
54.3%
Lowercase Letter9
25.7%
Decimal Number4
 
11.4%
Space Separator2
 
5.7%
Dash Punctuation1
 
2.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Т3
15.8%
S2
10.5%
M2
10.5%
B2
10.5%
T2
10.5%
O1
 
5.3%
L1
 
5.3%
R1
 
5.3%
G1
 
5.3%
V1
 
5.3%
Other values (3)3
15.8%
Lowercase Letter
ValueCountFrequency (%)
o2
22.2%
b1
11.1%
l1
11.1%
a1
11.1%
r1
11.1%
s1
11.1%
n1
11.1%
e1
11.1%
Decimal Number
ValueCountFrequency (%)
32
50.0%
11
25.0%
41
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin23
65.7%
Common7
 
20.0%
Cyrillic5
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S2
 
8.7%
o2
 
8.7%
M2
 
8.7%
B2
 
8.7%
T2
 
8.7%
O1
 
4.3%
L1
 
4.3%
R1
 
4.3%
b1
 
4.3%
l1
 
4.3%
Other values (8)8
34.8%
Common
ValueCountFrequency (%)
32
28.6%
2
28.6%
-1
14.3%
11
14.3%
41
14.3%
Cyrillic
ValueCountFrequency (%)
Т3
60.0%
Н1
 
20.0%
В1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII30
85.7%
Cyrillic5
 
14.3%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
Т3
60.0%
Н1
 
20.0%
В1
 
20.0%
ASCII
ValueCountFrequency (%)
S2
 
6.7%
32
 
6.7%
o2
 
6.7%
M2
 
6.7%
B2
 
6.7%
2
 
6.7%
T2
 
6.7%
O1
 
3.3%
L1
 
3.3%
R1
 
3.3%
Other values (13)13
43.3%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct6
Distinct (%)85.7%
Missing103
Missing (%)93.6%
Memory size1008.0 B
Russian Federation
Thailand
Egypt
Korea, Republic of
Brazil

Length

Max length18
Median length11
Mean length12
Min length5

Characters and Unicode

Total characters84
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st rowThailand
2nd rowRussian Federation
3rd rowRussian Federation
4th rowEgypt
5th rowKorea, Republic of

Common Values

ValueCountFrequency (%)
Russian Federation2
 
1.8%
Thailand1
 
0.9%
Egypt1
 
0.9%
Korea, Republic of1
 
0.9%
Brazil1
 
0.9%
Netherlands1
 
0.9%
(Missing)103
93.6%

Length

2022-09-04T23:41:23.109298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:23.197315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
russian2
18.2%
federation2
18.2%
thailand1
9.1%
egypt1
9.1%
korea1
9.1%
republic1
9.1%
of1
9.1%
brazil1
9.1%
netherlands1
9.1%

Most occurring characters

ValueCountFrequency (%)
a9
 
10.7%
e8
 
9.5%
i7
 
8.3%
n6
 
7.1%
s5
 
6.0%
r5
 
6.0%
4
 
4.8%
d4
 
4.8%
t4
 
4.8%
o4
 
4.8%
Other values (18)28
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter69
82.1%
Uppercase Letter10
 
11.9%
Space Separator4
 
4.8%
Other Punctuation1
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a9
13.0%
e8
11.6%
i7
10.1%
n6
8.7%
s5
 
7.2%
r5
 
7.2%
d4
 
5.8%
t4
 
5.8%
o4
 
5.8%
l4
 
5.8%
Other values (9)13
18.8%
Uppercase Letter
ValueCountFrequency (%)
R3
30.0%
F2
20.0%
T1
 
10.0%
E1
 
10.0%
K1
 
10.0%
B1
 
10.0%
N1
 
10.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
,1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin79
94.0%
Common5
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a9
 
11.4%
e8
 
10.1%
i7
 
8.9%
n6
 
7.6%
s5
 
6.3%
r5
 
6.3%
d4
 
5.1%
t4
 
5.1%
o4
 
5.1%
l4
 
5.1%
Other values (16)23
29.1%
Common
ValueCountFrequency (%)
4
80.0%
,1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII84
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a9
 
10.7%
e8
 
9.5%
i7
 
8.3%
n6
 
7.1%
s5
 
6.0%
r5
 
6.0%
4
 
4.8%
d4
 
4.8%
t4
 
4.8%
o4
 
4.8%
Other values (18)28
33.3%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct6
Distinct (%)85.7%
Missing103
Missing (%)93.6%
Memory size1008.0 B
RU
TH
EG
KR
BR

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters14
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st rowTH
2nd rowRU
3rd rowRU
4th rowEG
5th rowKR

Common Values

ValueCountFrequency (%)
RU2
 
1.8%
TH1
 
0.9%
EG1
 
0.9%
KR1
 
0.9%
BR1
 
0.9%
NL1
 
0.9%
(Missing)103
93.6%

Length

2022-09-04T23:41:23.281410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:23.353408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
ru2
28.6%
th1
14.3%
eg1
14.3%
kr1
14.3%
br1
14.3%
nl1
14.3%

Most occurring characters

ValueCountFrequency (%)
R4
28.6%
U2
14.3%
T1
 
7.1%
H1
 
7.1%
E1
 
7.1%
G1
 
7.1%
K1
 
7.1%
B1
 
7.1%
N1
 
7.1%
L1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter14
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R4
28.6%
U2
14.3%
T1
 
7.1%
H1
 
7.1%
E1
 
7.1%
G1
 
7.1%
K1
 
7.1%
B1
 
7.1%
N1
 
7.1%
L1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Latin14
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R4
28.6%
U2
14.3%
T1
 
7.1%
H1
 
7.1%
E1
 
7.1%
G1
 
7.1%
K1
 
7.1%
B1
 
7.1%
N1
 
7.1%
L1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII14
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R4
28.6%
U2
14.3%
T1
 
7.1%
H1
 
7.1%
E1
 
7.1%
G1
 
7.1%
K1
 
7.1%
B1
 
7.1%
N1
 
7.1%
L1
 
7.1%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct6
Distinct (%)85.7%
Missing103
Missing (%)93.6%
Memory size1008.0 B
Asia/Kamchatka
Asia/Bangkok
Africa/Cairo
Asia/Seoul
America/Noronha

Length

Max length16
Median length15
Mean length13.28571429
Min length10

Characters and Unicode

Total characters93
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st rowAsia/Bangkok
2nd rowAsia/Kamchatka
3rd rowAsia/Kamchatka
4th rowAfrica/Cairo
5th rowAsia/Seoul

Common Values

ValueCountFrequency (%)
Asia/Kamchatka2
 
1.8%
Asia/Bangkok1
 
0.9%
Africa/Cairo1
 
0.9%
Asia/Seoul1
 
0.9%
America/Noronha1
 
0.9%
Europe/Amsterdam1
 
0.9%
(Missing)103
93.6%

Length

2022-09-04T23:41:23.429408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:23.518801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/kamchatka2
28.6%
asia/bangkok1
14.3%
africa/cairo1
14.3%
asia/seoul1
14.3%
america/noronha1
14.3%
europe/amsterdam1
14.3%

Most occurring characters

ValueCountFrequency (%)
a16
17.2%
A7
 
7.5%
i7
 
7.5%
/7
 
7.5%
r6
 
6.5%
o6
 
6.5%
s5
 
5.4%
m5
 
5.4%
k4
 
4.3%
c4
 
4.3%
Other values (16)26
28.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter72
77.4%
Uppercase Letter14
 
15.1%
Other Punctuation7
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a16
22.2%
i7
9.7%
r6
 
8.3%
o6
 
8.3%
s5
 
6.9%
m5
 
6.9%
k4
 
5.6%
c4
 
5.6%
e4
 
5.6%
t3
 
4.2%
Other values (8)12
16.7%
Uppercase Letter
ValueCountFrequency (%)
A7
50.0%
K2
 
14.3%
E1
 
7.1%
N1
 
7.1%
S1
 
7.1%
C1
 
7.1%
B1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin86
92.5%
Common7
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a16
18.6%
A7
 
8.1%
i7
 
8.1%
r6
 
7.0%
o6
 
7.0%
s5
 
5.8%
m5
 
5.8%
k4
 
4.7%
c4
 
4.7%
e4
 
4.7%
Other values (15)22
25.6%
Common
ValueCountFrequency (%)
/7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a16
17.2%
A7
 
7.5%
i7
 
7.5%
/7
 
7.5%
r6
 
6.5%
o6
 
6.5%
s5
 
5.4%
m5
 
5.4%
k4
 
4.3%
c4
 
4.3%
Other values (16)26
28.0%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing110
Missing (%)100.0%
Memory size1008.0 B

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing110
Missing (%)100.0%
Memory size1008.0 B

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing110
Missing (%)100.0%
Memory size1008.0 B

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing110
Missing (%)100.0%
Memory size1008.0 B

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing109
Missing (%)99.1%
Memory size1008.0 B
Korea, Republic of

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowKorea, Republic of

Common Values

ValueCountFrequency (%)
Korea, Republic of1
 
0.9%
(Missing)109
99.1%

Length

2022-09-04T23:41:23.599149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:23.660081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
korea1
33.3%
republic1
33.3%
of1
33.3%

Most occurring characters

ValueCountFrequency (%)
o2
 
11.1%
e2
 
11.1%
2
 
11.1%
K1
 
5.6%
r1
 
5.6%
a1
 
5.6%
,1
 
5.6%
R1
 
5.6%
p1
 
5.6%
u1
 
5.6%
Other values (5)5
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter13
72.2%
Space Separator2
 
11.1%
Uppercase Letter2
 
11.1%
Other Punctuation1
 
5.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o2
15.4%
e2
15.4%
r1
7.7%
a1
7.7%
p1
7.7%
u1
7.7%
b1
7.7%
l1
7.7%
i1
7.7%
c1
7.7%
Uppercase Letter
ValueCountFrequency (%)
K1
50.0%
R1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
,1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15
83.3%
Common3
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o2
13.3%
e2
13.3%
K1
 
6.7%
r1
 
6.7%
a1
 
6.7%
R1
 
6.7%
p1
 
6.7%
u1
 
6.7%
b1
 
6.7%
l1
 
6.7%
Other values (3)3
20.0%
Common
ValueCountFrequency (%)
2
66.7%
,1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o2
 
11.1%
e2
 
11.1%
2
 
11.1%
K1
 
5.6%
r1
 
5.6%
a1
 
5.6%
,1
 
5.6%
R1
 
5.6%
p1
 
5.6%
u1
 
5.6%
Other values (5)5
27.8%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing109
Missing (%)99.1%
Memory size1008.0 B
KR

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowKR

Common Values

ValueCountFrequency (%)
KR1
 
0.9%
(Missing)109
99.1%

Length

2022-09-04T23:41:23.713081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:23.772285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
kr1
100.0%

Most occurring characters

ValueCountFrequency (%)
K1
50.0%
R1
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K1
50.0%
R1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
K1
50.0%
R1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K1
50.0%
R1
50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing109
Missing (%)99.1%
Memory size1008.0 B
Asia/Seoul

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowAsia/Seoul

Common Values

ValueCountFrequency (%)
Asia/Seoul1
 
0.9%
(Missing)109
99.1%

Length

2022-09-04T23:41:23.826285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:41:23.891821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/seoul1
100.0%

Most occurring characters

ValueCountFrequency (%)
A1
10.0%
s1
10.0%
i1
10.0%
a1
10.0%
/1
10.0%
S1
10.0%
e1
10.0%
o1
10.0%
u1
10.0%
l1
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7
70.0%
Uppercase Letter2
 
20.0%
Other Punctuation1
 
10.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s1
14.3%
i1
14.3%
a1
14.3%
e1
14.3%
o1
14.3%
u1
14.3%
l1
14.3%
Uppercase Letter
ValueCountFrequency (%)
A1
50.0%
S1
50.0%
Other Punctuation
ValueCountFrequency (%)
/1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9
90.0%
Common1
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A1
11.1%
s1
11.1%
i1
11.1%
a1
11.1%
S1
11.1%
e1
11.1%
o1
11.1%
u1
11.1%
l1
11.1%
Common
ValueCountFrequency (%)
/1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A1
10.0%
s1
10.0%
i1
10.0%
a1
10.0%
/1
10.0%
S1
10.0%
e1
10.0%
o1
10.0%
u1
10.0%
l1
10.0%

Interactions

2022-09-04T23:41:07.079839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:47.565164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:48.721732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:49.852961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:51.225988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:52.230394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:53.429381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:54.713716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:56.159745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:57.849440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:59.676651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:01.578484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:03.491567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:05.123750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:07.215383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:47.792526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:48.903895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:49.961401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:51.301057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:52.292393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:53.530466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:54.779726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:56.285416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:57.950566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:59.796004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:01.732587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:03.632941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:05.243645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:41:07.360218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:40:47.862591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-09-04T23:41:24.340524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-09-04T23:41:24.602588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-09-04T23:41:24.880929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-09-04T23:41:11.591263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-09-04T23:41:12.746564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummaryrating.average_links.self.href_embedded.show.id_embedded.show.url_embedded.show.name_embedded.show.type_embedded.show.language_embedded.show.genres_embedded.show.status_embedded.show.runtime_embedded.show.averageRuntime_embedded.show.premiered_embedded.show.ended_embedded.show.officialSite_embedded.show.schedule.time_embedded.show.schedule.days_embedded.show.rating.average_embedded.show.weight_embedded.show.network_embedded.show.webChannel.id_embedded.show.webChannel.name_embedded.show.webChannel.country.name_embedded.show.webChannel.country.code_embedded.show.webChannel.country.timezone_embedded.show.webChannel.officialSite_embedded.show.dvdCountry_embedded.show.externals.tvrage_embedded.show.externals.thetvdb_embedded.show.externals.imdb_embedded.show.image.medium_embedded.show.image.original_embedded.show.summary_embedded.show.updated_embedded.show._links.self.href_embedded.show._links.previousepisode.hrefimage.mediumimage.original_embedded.show._links.nextepisode.href_embedded.show.network.id_embedded.show.network.name_embedded.show.network.country.name_embedded.show.network.country.code_embedded.show.network.country.timezone_embedded.show.network.officialSite_embedded.show.webChannel.country_embedded.show.webChannel_embedded.show.image_embedded.show.dvdCountry.name_embedded.show.dvdCountry.code_embedded.show.dvdCountry.timezone
01988861https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23Chanyeol's Episode 23423.0regular2020-12-1706:002020-12-16T21:00:00+00:0016.0NaN<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>NaNhttps://api.tvmaze.com/episodes/198886141648https://www.tvmaze.com/shows/41648/sim-for-youSim for YouRealityKorean[]Running16.016.02019-03-25Nonehttps://www.vlive.tv/video/121637[Monday, Wednesday, Friday]NaN30NaN122.0V LIVEKorea, Republic ofKRAsia/Seoulhttps://www.vlive.tv/homeNaNNaN361541.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/190/476668.jpghttps://static.tvmaze.com/uploads/images/original_untouched/190/476668.jpg<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>1608499007https://api.tvmaze.com/shows/41648https://api.tvmaze.com/episodes/1988862NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11977892https://www.tvmaze.com/episodes/1977892/obycnaa-zensina-2x01-seria-10Серия 1021.0regular2020-12-1710:002020-12-16T22:00:00+00:0036.0NaNNoneNaNhttps://api.tvmaze.com/episodes/197789239115https://www.tvmaze.com/shows/39115/obycnaa-zensinaОбычная женщинаScriptedRussian[Drama, Crime, Mystery]Ended50.048.02018-10-292021-01-07https://premier.one/show/840522:00[Monday, Tuesday, Wednesday, Thursday]7.740NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNaNNaN345280.0tt8561620https://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>1610110841https://api.tvmaze.com/shows/39115https://api.tvmaze.com/episodes/1977905https://static.tvmaze.com/uploads/images/medium_landscape/289/723163.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/723163.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21977898https://www.tvmaze.com/episodes/1977898/obycnaa-zensina-2x02-seria-11Серия 1122.0regular2020-12-1710:002020-12-16T22:00:00+00:0045.0NaNNoneNaNhttps://api.tvmaze.com/episodes/197789839115https://www.tvmaze.com/shows/39115/obycnaa-zensinaОбычная женщинаScriptedRussian[Drama, Crime, Mystery]Ended50.048.02018-10-292021-01-07https://premier.one/show/840522:00[Monday, Tuesday, Wednesday, Thursday]7.740NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNaNNaN345280.0tt8561620https://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>1610110841https://api.tvmaze.com/shows/39115https://api.tvmaze.com/episodes/1977905https://static.tvmaze.com/uploads/images/medium_landscape/289/723164.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/723164.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
31963998https://www.tvmaze.com/episodes/1963998/257-pricin-ctoby-zit-2x08-seria-21Серия 2128.0regular2020-12-172020-12-17T00:00:00+00:0025.0NaNNoneNaNhttps://api.tvmaze.com/episodes/196399843722https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit257 причин, чтобы житьScriptedRussian[Drama, Comedy]EndedNaN24.02020-03-262021-01-21https://start.ru/watch/257-prichin-chtoby-zhit[Thursday]NaN68NaN245.0StartRussian FederationRUAsia/KamchatkaNoneNaNNaN377678.0tt11477416https://static.tvmaze.com/uploads/images/medium_portrait/260/651809.jpghttps://static.tvmaze.com/uploads/images/original_untouched/260/651809.jpg<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>1653640849https://api.tvmaze.com/shows/43722https://api.tvmaze.com/episodes/1964003NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
41949910https://www.tvmaze.com/episodes/1949910/smesariki-novyj-sezon-1x31-emigrant-cast-1Эмигрант. Часть 1131.0regular2020-12-172020-12-17T00:00:00+00:006.0NaNNoneNaNhttps://api.tvmaze.com/episodes/194991048151https://www.tvmaze.com/shows/48151/smesariki-novyj-sezonСмешарики. Новый сезонAnimationRussian[Comedy, Family]Running7.07.02020-05-18Nonehttps://www.kinopoisk.ru/series/1379016/[Thursday]NaN35NaN381.0КиноПоиск HDRussian FederationRUAsia/Kamchatkahttps://hd.kinopoisk.ru/NaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/257/643435.jpghttps://static.tvmaze.com/uploads/images/original_untouched/257/643435.jpg<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>1646904606https://api.tvmaze.com/shows/48151https://api.tvmaze.com/episodes/2164183NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
51949911https://www.tvmaze.com/episodes/1949911/smesariki-novyj-sezon-1x32-zagЗаг132.0regular2020-12-172020-12-17T00:00:00+00:006.0NaNNoneNaNhttps://api.tvmaze.com/episodes/194991148151https://www.tvmaze.com/shows/48151/smesariki-novyj-sezonСмешарики. Новый сезонAnimationRussian[Comedy, Family]Running7.07.02020-05-18Nonehttps://www.kinopoisk.ru/series/1379016/[Thursday]NaN35NaN381.0КиноПоиск HDRussian FederationRUAsia/Kamchatkahttps://hd.kinopoisk.ru/NaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/257/643435.jpghttps://static.tvmaze.com/uploads/images/original_untouched/257/643435.jpg<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>1646904606https://api.tvmaze.com/shows/48151https://api.tvmaze.com/episodes/2164183NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
61960728https://www.tvmaze.com/episodes/1960728/psih-1x07-osoznanieОсознание17.0regular2020-12-1712:002020-12-17T00:00:00+00:0061.0NaNNoneNaNhttps://api.tvmaze.com/episodes/196072849280https://www.tvmaze.com/shows/49280/psihПсихScriptedRussian[Drama, Thriller]Ended62.062.02020-11-052020-12-24https://more.tv/psih[Thursday]NaN27NaN246.0more.tvRussian FederationRUAsia/KamchatkaNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/295/739859.jpghttps://static.tvmaze.com/uploads/images/original_untouched/295/739859.jpg<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>1653851744https://api.tvmaze.com/shows/49280https://api.tvmaze.com/episodes/1960733https://static.tvmaze.com/uploads/images/medium_landscape/301/752692.jpghttps://static.tvmaze.com/uploads/images/original_untouched/301/752692.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
71982405https://www.tvmaze.com/episodes/1982405/volk-1x07-seria-07Серия 0717.0regular2020-12-172020-12-17T00:00:00+00:0051.0NaNNoneNaNhttps://api.tvmaze.com/episodes/198240552181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian[Drama, Adventure, Mystery]Ended51.050.02020-12-072020-12-28https://premier.one/show/12339[Monday, Thursday]NaN23NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpgNone1640435531https://api.tvmaze.com/shows/52181https://api.tvmaze.com/episodes/1982412NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
81982406https://www.tvmaze.com/episodes/1982406/volk-1x08-seria-08Серия 0818.0regular2020-12-172020-12-17T00:00:00+00:0051.0NaNNoneNaNhttps://api.tvmaze.com/episodes/198240652181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian[Drama, Adventure, Mystery]Ended51.050.02020-12-072020-12-28https://premier.one/show/12339[Monday, Thursday]NaN23NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpgNone1640435531https://api.tvmaze.com/shows/52181https://api.tvmaze.com/episodes/1982412NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
91988012https://www.tvmaze.com/episodes/1988012/muzskaa-tema-1x01-seria-1Серия 111.0regular2020-12-1712:002020-12-17T00:00:00+00:0033.0NaNNoneNaNhttps://api.tvmaze.com/episodes/198801252520https://www.tvmaze.com/shows/52520/muzskaa-temaМужская темаTalk ShowRussian[]Ended30.030.02020-12-172020-12-25https://www.ivi.ru/watch/muzhskaya-tema12:00[Monday, Tuesday, Wednesday, Thursday, Friday]NaN4NaN337.0iviRussian FederationRUAsia/Kamchatkahttps://www.ivi.ru/NaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/289/723328.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/723328.jpg<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>1616722619https://api.tvmaze.com/shows/52520https://api.tvmaze.com/episodes/1988016NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummaryrating.average_links.self.href_embedded.show.id_embedded.show.url_embedded.show.name_embedded.show.type_embedded.show.language_embedded.show.genres_embedded.show.status_embedded.show.runtime_embedded.show.averageRuntime_embedded.show.premiered_embedded.show.ended_embedded.show.officialSite_embedded.show.schedule.time_embedded.show.schedule.days_embedded.show.rating.average_embedded.show.weight_embedded.show.network_embedded.show.webChannel.id_embedded.show.webChannel.name_embedded.show.webChannel.country.name_embedded.show.webChannel.country.code_embedded.show.webChannel.country.timezone_embedded.show.webChannel.officialSite_embedded.show.dvdCountry_embedded.show.externals.tvrage_embedded.show.externals.thetvdb_embedded.show.externals.imdb_embedded.show.image.medium_embedded.show.image.original_embedded.show.summary_embedded.show.updated_embedded.show._links.self.href_embedded.show._links.previousepisode.hrefimage.mediumimage.original_embedded.show._links.nextepisode.href_embedded.show.network.id_embedded.show.network.name_embedded.show.network.country.name_embedded.show.network.country.code_embedded.show.network.country.timezone_embedded.show.network.officialSite_embedded.show.webChannel.country_embedded.show.webChannel_embedded.show.image_embedded.show.dvdCountry.name_embedded.show.dvdCountry.code_embedded.show.dvdCountry.timezone
1001988001https://www.tvmaze.com/episodes/1988001/12-dates-of-christmas-s01-special-unwrappedUnwrapped1NaNinsignificant_special2020-12-172020-12-17T17:00:00+00:0050.0NaN<p>Hosted by D.J. "Shangela" Pierce (HBO's "We're Here," "RuPaul's Drag Race," "A Star Is Born"), this reunion special is a chance for Chad, Faith, Garrett and their love interests to unwrap everything that's gone down since last Christmas - from settling scores and revealing juicy behind-the-scenes stories to unmasking secret hookups and answering whether our couples stayed together... or said goodbye. With her trademark flair, humor and insight, Shangela stokes the Yule log fire.</p>NaNhttps://api.tvmaze.com/episodes/198800145470https://www.tvmaze.com/shows/45470/12-dates-of-christmas12 Dates of ChristmasRealityEnglish[Romance]To Be DeterminedNaN43.02020-11-26Nonehttps://play.hbomax.com/series/urn:hbo:series:GX6MzzwZycJYSwwEAAALF[]NaN78NaN329.0HBO MaxNaNNaNNaNhttps://www.hbomax.com/NaNNaN382350.0tt11609976https://static.tvmaze.com/uploads/images/medium_portrait/373/932566.jpghttps://static.tvmaze.com/uploads/images/original_untouched/373/932566.jpg<p><b>12 Dates of Christmas</b> is a holiday-inspired dating series set in a stunning winter wonderland. The series follows a cast of singles as they step into a real-life romantic comedy full of cozy sweaters, fireside cuddles, and mistletoe kisses, all arranged to help these souls find love - just in time for the holidays.</p>1651110090https://api.tvmaze.com/shows/45470https://api.tvmaze.com/episodes/2210303https://static.tvmaze.com/uploads/images/medium_landscape/289/723341.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/723341.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1011980779https://www.tvmaze.com/episodes/1980779/tyler-perrys-ruthless-1x18-drinking-my-scotchDrinking My Scotch118.0regular2020-12-172020-12-17T17:00:00+00:0043.0NaN<p>Cynthia is in disbelief as she has finally caught Malcolm and Sarah in their long-standing affair. Ruth shares troubling news with Oliver about what really happens when the girls leave with Lilo. The Highest and River's relationship grows as Dikahn's dislike for River grows. </p>NaNhttps://api.tvmaze.com/episodes/198077946668https://www.tvmaze.com/shows/46668/tyler-perrys-ruthlessTyler Perry's RuthlessScriptedEnglish[Drama]Running45.045.02020-03-19Nonehttps://www.bet.plus/shows/tyler-perrys-ruthless[Thursday]6.091NaN351.0BET+United StatesUSAmerica/New_YorkNoneNaNNaN378036.0tt11306366https://static.tvmaze.com/uploads/images/medium_portrait/245/614002.jpghttps://static.tvmaze.com/uploads/images/original_untouched/245/614002.jpg<p>The riveting story of a woman named Ruth who kidnaps her young daughter to join her in the dark underworld of a fanatical religious cult. Based on a character introduced in <i>Tyler Perry's The Oval</i>.</p>1660007190https://api.tvmaze.com/shows/46668https://api.tvmaze.com/episodes/2322282https://static.tvmaze.com/uploads/images/medium_landscape/292/731964.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/731964.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1021950701https://www.tvmaze.com/episodes/1950701/texas-6-1x06-the-rivalryThe Rivalry16.0regular2020-12-172020-12-17T17:00:00+00:0038.0NaN<p>Perhaps the biggest rivalry in six-man football, the Greyhounds take on their cross-town rival, the Gordon Longhorns with all of Strawn watching.</p>NaNhttps://api.tvmaze.com/episodes/195070151316https://www.tvmaze.com/shows/51316/texas-6Texas 6DocumentaryEnglish[Sports]RunningNaN36.02020-11-26Nonehttps://www.cbs.com/shows/texas-6/[]NaN46NaN107.0Paramount+NaNNaNNaNhttps://www.paramountplus.com/NaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/282/706759.jpghttps://static.tvmaze.com/uploads/images/original_untouched/282/706759.jpg<p><b>Texas 6</b> takes place in Strawn, Texas and follows the Greyhounds, a high school six-man football team under the direction of Coach Dewaine Lee, as they attempt a three-peat for the 6-Man Football State Championship. While football remains the spine of Strawn, <i>Texas 6</i> ultimately depicts the spirit of a small town and a team that shows up for one another on and off the field.</p>1637773188https://api.tvmaze.com/shows/51316https://api.tvmaze.com/episodes/2188850https://static.tvmaze.com/uploads/images/medium_landscape/290/726711.jpghttps://static.tvmaze.com/uploads/images/original_untouched/290/726711.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1031962891https://www.tvmaze.com/episodes/1962891/terror-lake-drive-1x04-something-about-ajSomething About AJ14.0regular2020-12-172020-12-17T17:00:00+00:0034.0NaN<p>AJ starts exuding some odd behavior as he protests to go back to Baltimore. Mounting inconsistencies emerge about Corey that leaves Sam in doubt.</p>NaNhttps://api.tvmaze.com/episodes/196289151706https://www.tvmaze.com/shows/51706/terror-lake-driveTerror Lake DriveScriptedEnglish[Drama]RunningNaN45.02020-11-26Nonehttps://allblk.tv/terrorlakedrive/[Thursday]5.382NaN209.0ALLBLKUnited StatesUSAmerica/New_YorkNoneNaNNaN389837.0tt11691262https://static.tvmaze.com/uploads/images/medium_portrait/284/710419.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/710419.jpg<p><b>Terror Lake Drive</b> follows a single mother from Baltimore who—on the heels of a recent pandemic and growing social unrest—relocates to Atlanta in an attempt to dodge her troubled past. As she settles into her new surroundings, she soon discovers that there are some things she can never run away from.</p>1659578738https://api.tvmaze.com/shows/51706https://api.tvmaze.com/episodes/2370369https://static.tvmaze.com/uploads/images/medium_landscape/363/908141.jpghttps://static.tvmaze.com/uploads/images/original_untouched/363/908141.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1042008333https://www.tvmaze.com/episodes/2008333/for-the-love-of-jason-1x05-were-just-hanging-outWe're Just Hanging Out15.0regular2020-12-172020-12-17T17:00:00+00:0025.0NaN<p>Jason goes on a date with a woman who is forced to bring her young son along, and it's clear he has no home training. The date quickly goes bad and leads him back to Carmen. Bryan deals with the fallout of his relationship much to the crew's dismay. Lacy gets the call for a new opportunity. Carmen makes herself comfortable in Jason's life.</p>NaNhttps://api.tvmaze.com/episodes/200833351899https://www.tvmaze.com/shows/51899/for-the-love-of-jasonFor the Love of JasonScriptedEnglish[Drama]To Be DeterminedNaN27.02020-11-19Nonehttps://allblk.tv/fortheloveofjason/[Thursday]NaN51NaN209.0ALLBLKUnited StatesUSAmerica/New_YorkNoneNaNNaN391962.0tt13032438https://static.tvmaze.com/uploads/images/medium_portrait/420/1050649.jpghttps://static.tvmaze.com/uploads/images/original_untouched/420/1050649.jpg<p>Jason has always had it together. He's educated and financially stable with no baby mama drama. When he broke off his longtime relationship, he got caught up in the bachelor lifestyle, not realizing life was passing him by. One by one, his friends start settling down, leaving Jason the odd man out. He now feels pressure to catch up and finds himself in awkward dating encounters with women. Through it all, his friends are there to help him along the way.</p>1661673637https://api.tvmaze.com/shows/51899https://api.tvmaze.com/episodes/2381492https://static.tvmaze.com/uploads/images/medium_landscape/292/732257.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/732257.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1052236493https://www.tvmaze.com/episodes/2236493/notruf-hafenkante-15x12-abistreichAbistreich1512.0regular2020-12-1719:252020-12-17T18:25:00+00:0045.0NaNNoneNaNhttps://api.tvmaze.com/episodes/223649317046https://www.tvmaze.com/shows/17046/notruf-hafenkanteNotruf HafenkanteScriptedGerman[Drama, Crime]Running45.050.02007-01-04Nonehttps://www.zdf.de/serien/notruf-hafenkante19:25[Thursday]NaN54NaN352.0ZDFmediathekGermanyDEEurope/BusingenNoneNaNNaN232731.0tt0940902https://static.tvmaze.com/uploads/images/medium_portrait/57/143179.jpghttps://static.tvmaze.com/uploads/images/original_untouched/57/143179.jpgNone1662011776https://api.tvmaze.com/shows/17046https://api.tvmaze.com/episodes/2280401NaNNaNhttps://api.tvmaze.com/episodes/2383474NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1061977415https://www.tvmaze.com/episodes/1977415/goede-tijden-slechte-tijden-31x64-aflevering-6319Aflevering 63193164.0regular2020-12-1720:002020-12-17T19:00:00+00:0023.0NaNNoneNaNhttps://api.tvmaze.com/episodes/19774152504https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijdenGoede Tijden, Slechte TijdenScriptedDutch[Drama, Romance]Running23.025.01990-10-01Nonehttp://gtst.nl/#!/20:00[Monday, Tuesday, Wednesday, Thursday]NaN84NaNNaNNaNNaNNaNNaNNaNNaN19056.0104271.0tt0096597https://static.tvmaze.com/uploads/images/medium_portrait/332/830481.jpghttps://static.tvmaze.com/uploads/images/original_untouched/332/830481.jpgNone1662346277https://api.tvmaze.com/shows/2504https://api.tvmaze.com/episodes/2379701https://static.tvmaze.com/uploads/images/medium_landscape/288/720705.jpghttps://static.tvmaze.com/uploads/images/original_untouched/288/720705.jpghttps://api.tvmaze.com/episodes/2379702112.0RTL4NetherlandsNLEurope/AmsterdamNaNNaNNaNNaNNaNNaNNaN
1071976647https://www.tvmaze.com/episodes/1976647/wwe-nxt-uk-2020-12-17-episode-51Episode 51202051.0regular2020-12-1715:002020-12-17T20:00:00+00:0060.0NaNNoneNaNhttps://api.tvmaze.com/episodes/197664739053https://www.tvmaze.com/shows/39053/wwe-nxt-ukWWE NXT UKSportsEnglish[]Running60.060.02018-10-17NoneNone15:00[Thursday]NaN88NaN15.0WWE NetworkUnited StatesUSAmerica/New_YorkNoneNaNNaN354295.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/401/1002870.jpghttps://static.tvmaze.com/uploads/images/original_untouched/401/1002870.jpg<p>The one-hour episodes will feature the biggest names from NXT UK, including Pete Dunne, Mark Andrews, Rhea Ripley, Toni Storm, Tyler Bate, Trent Seven and Wolfgang. Joining the NXT UK broadcasting team as backstage interviewer is British broadcasting personality Radzi Chinyanganya, best known for hosting ITV game show "Cannonball," and in his ongoing role as a presenter of the world's longest-running children's TV show, the BBC's "Blue Peter." Calling the action are commentators Nigel McGuinness and Vic Joseph, joined by ring announcer Andy Shepherd and NXT UK General Manager, the legendary Johnny Saint.</p>1661770465https://api.tvmaze.com/shows/39053https://api.tvmaze.com/episodes/2375913NaNNaNhttps://api.tvmaze.com/episodes/2382043NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1082041990https://www.tvmaze.com/episodes/2041990/titan-fc-2020-12-17-titan-fc-66-assis-vs-hollowayTitan FC 66: Assis vs. Holloway20208.0regular2020-12-1722:002020-12-18T03:00:00+00:00120.0NaNNoneNaNhttps://api.tvmaze.com/episodes/204199016665https://www.tvmaze.com/shows/16665/titan-fcTitan FCSportsEnglish[]RunningNaN102.02006-03-11Nonehttp://www.titanfighting.com[Friday]NaN2NaN45.0UFC Fight PassUnited StatesUSAmerica/New_YorkNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/401/1004265.jpghttps://static.tvmaze.com/uploads/images/original_untouched/401/1004265.jpg<p>Titan Fighting Championship is an American mixed martial arts promotion based out of Pompano Beach, FL. Their shows were originally run in and near Kansas City and have since expanded to include venues all over North America and eventually, international locations.</p>1648431696https://api.tvmaze.com/shows/16665https://api.tvmaze.com/episodes/2303099NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1092008338https://www.tvmaze.com/episodes/2008338/beyond-the-pole-s01-special-living-under-lockdownLiving Under Lockdown1NaNinsignificant_special2020-12-1722:002020-12-18T03:00:00+00:0060.0NaN<p>From virtual strip clubs to OnlyFans, the queens of hustle and grind are back for a unique behind the scenes look at their journey to financial freedom. When Atlanta shuts down its famous nightlife scene due to a global pandemic, the clubs' exotic dancers, bartenders, and bottle girls struggle to find income streams. Ms. Dime, Angel Kake, Empress, and Lyric self-document their fight for survival.</p><p><i>Premiered on WEtv</i></p>NaNhttps://api.tvmaze.com/episodes/200833840633https://www.tvmaze.com/shows/40633/beyond-the-poleBeyond the PoleRealityEnglish[]Ended60.060.02019-01-032021-08-05https://allblk.tv/beyondthepole[Thursday]NaN37NaN209.0ALLBLKUnited StatesUSAmerica/New_YorkNoneNaNNaN358670.0tt9032480https://static.tvmaze.com/uploads/images/medium_portrait/378/946524.jpghttps://static.tvmaze.com/uploads/images/original_untouched/378/946524.jpg<p>The day and the life of six popular Atlanta strippers trying desperately to start businesses off the pole.</p>1640896109https://api.tvmaze.com/shows/40633https://api.tvmaze.com/episodes/2223096https://static.tvmaze.com/uploads/images/medium_landscape/378/946214.jpghttps://static.tvmaze.com/uploads/images/original_untouched/378/946214.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN